2016
|
Peter Hobson; Brian C. Lovell; Gennaro Percannella; Alessia Saggese; Mario Vento; Arnold Wiliem Computer Aided Diagnosis for Anti-Nuclear Antibodies HEp-2 images: Progress and challenges Journal Article Pattern Recognition Letters, 82, Part 1 , pp. 3 - 11, 2016, ISSN: 0167-8655, (Pattern recognition Techniques for Indirect Immunofluorescence Images Analysis). Abstract | BibTeX | Tag: Computer Aided Diagnoses | Links: @article{Hobson20163,
title = {Computer Aided Diagnosis for Anti-Nuclear Antibodies HEp-2 images: Progress and challenges},
author = {Peter Hobson and Brian C. Lovell and Gennaro Percannella and Alessia Saggese and Mario Vento and Arnold Wiliem},
url = {http://www.sciencedirect.com/science/article/pii/S0167865516301374},
doi = {http://dx.doi.org/10.1016/j.patrec.2016.06.013},
issn = {0167-8655},
year = {2016},
date = {2016-01-01},
journal = {Pattern Recognition Letters},
volume = {82, Part 1},
pages = {3 - 11},
abstract = {The Anti-Nuclear Antibodies (ANA) test using Human Epithelial (HEp-2) cells has been the gold standard to identify the presence of Connective Tissue Diseases (CTD) such us Systemic Lupus Erythomatus (SLE). As the ANA test is time consuming, labor intensive and subjective, there has been an on-going effort to develop image-based Computer Aided Diagnosis (CAD) systems. This paper discusses the current progress and challenges in this field and will highlight areas which require more attention.},
note = {Pattern recognition Techniques for Indirect Immunofluorescence Images Analysis},
keywords = {Computer Aided Diagnoses},
pubstate = {published},
tppubtype = {article}
}
The Anti-Nuclear Antibodies (ANA) test using Human Epithelial (HEp-2) cells has been the gold standard to identify the presence of Connective Tissue Diseases (CTD) such us Systemic Lupus Erythomatus (SLE). As the ANA test is time consuming, labor intensive and subjective, there has been an on-going effort to develop image-based Computer Aided Diagnosis (CAD) systems. This paper discusses the current progress and challenges in this field and will highlight areas which require more attention. |
Peter Hobson; Brian C. Lovell; Gennaro Percannella; Alessia Saggese; Mario Vento; Arnold Wiliem HEp-2 staining pattern recognition at cell and specimen levels: Datasets, algorithms and results Journal Article Pattern Recognition Letters, 82, Part 1 , pp. 12 - 22, 2016, ISSN: 0167-8655, (Pattern recognition Techniques for Indirect Immunofluorescence Images Analysis). Abstract | BibTeX | Tag: Computer Aided Diagnoses | Links: @article{Hobson201612,
title = {HEp-2 staining pattern recognition at cell and specimen levels: Datasets, algorithms and results},
author = {Peter Hobson and Brian C. Lovell and Gennaro Percannella and Alessia Saggese and Mario Vento and Arnold Wiliem},
url = {http://www.sciencedirect.com/science/article/pii/S0167865516301751},
doi = {http://dx.doi.org/10.1016/j.patrec.2016.07.013},
issn = {0167-8655},
year = {2016},
date = {2016-01-01},
journal = {Pattern Recognition Letters},
volume = {82, Part 1},
pages = {12 - 22},
abstract = {The Indirect Immunofluorescence (IIF) protocol applied on Human Epithelial type 2 (HEp-2) cells is the current gold standard for the Antinuclear Antibody (ANA) test. The formulation of the diagnosis requires the visual analysis of a patient’s specimen under a fluorescence microscope in order to recognize the cells’ staining pattern which could be related to a connective tissue disease. This analysis is time consuming and error prone, thus in the recent past we have witnessed a growing interest in the pattern recognition scientific community directed at the development of methods for supporting this complex task. The main driver of the interest towards this problem is represented by the series of international benchmarking initiatives organized in the last four years that allowed dozens of research groups to propose innovative methodologies for HEp-2 cells’ staining pattern classification. In this paper we update the state of the art on HEp-2 cells and specimens classification, by analyzing the performance achieved by the methods participating the contest on Performance Evaluation of IIF Image Analysis Systems, hosted by the 22nd edition of the International Conference on Pattern Recognition ICPR 2014, and to the Executable Thematic Special Issue of Pattern Recognition Letters on Pattern Recognition Techniques for IIF Images Analysis, and by highlighting the trends in the design of the best performing methods.},
note = {Pattern recognition Techniques for Indirect Immunofluorescence Images Analysis},
keywords = {Computer Aided Diagnoses},
pubstate = {published},
tppubtype = {article}
}
The Indirect Immunofluorescence (IIF) protocol applied on Human Epithelial type 2 (HEp-2) cells is the current gold standard for the Antinuclear Antibody (ANA) test. The formulation of the diagnosis requires the visual analysis of a patient’s specimen under a fluorescence microscope in order to recognize the cells’ staining pattern which could be related to a connective tissue disease. This analysis is time consuming and error prone, thus in the recent past we have witnessed a growing interest in the pattern recognition scientific community directed at the development of methods for supporting this complex task. The main driver of the interest towards this problem is represented by the series of international benchmarking initiatives organized in the last four years that allowed dozens of research groups to propose innovative methodologies for HEp-2 cells’ staining pattern classification. In this paper we update the state of the art on HEp-2 cells and specimens classification, by analyzing the performance achieved by the methods participating the contest on Performance Evaluation of IIF Image Analysis Systems, hosted by the 22nd edition of the International Conference on Pattern Recognition ICPR 2014, and to the Executable Thematic Special Issue of Pattern Recognition Letters on Pattern Recognition Techniques for IIF Images Analysis, and by highlighting the trends in the design of the best performing methods. |
Luc Brun; Gennaro Percannella; Alessia Saggese; Mario Vento Action recognition by using kernels on aclets sequences Journal Article Computer Vision and Image Understanding, 144 , pp. 3 - 13, 2016, ISSN: 1077-3142, (Individual and Group Activities in Video Event Analysis). Abstract | BibTeX | Tag: Soft assignment | Links: @article{Brun20163,
title = {Action recognition by using kernels on aclets sequences},
author = {Luc Brun and Gennaro Percannella and Alessia Saggese and Mario Vento},
url = {http://www.sciencedirect.com/science/article/pii/S1077314215001988},
doi = {http://dx.doi.org/10.1016/j.cviu.2015.09.003},
issn = {1077-3142},
year = {2016},
date = {2016-01-01},
journal = {Computer Vision and Image Understanding},
volume = {144},
pages = {3 - 13},
abstract = {In this paper we propose a method for human action recognition based on a string kernel framework. An action is represented as a string, where each symbol composing it is associated to an aclet, that is an atomic unit of the action encoding a feature vector extracted from raw data. In this way, measuring similarities between actions leads to design a similarity measure between strings. We propose to define this string’s similarity using the global alignment kernel framework. In this context, the similarity between two aclets is computed by a novel soft evaluation method based on an enhanced gaussian kernel. The main advantage of the proposed approach lies in its ability to effectively deal with actions of different lengths or different temporal scales as well as with noise introduced during the features extraction step. The proposed method has been tested over three publicly available datasets, namely the MIVIA, the CAD and the MHAD, and the obtained results, compared with several state of the art approaches, confirm the effectiveness and the applicability of our system in real environments, where unexperienced operators can easily configure it.},
note = {Individual and Group Activities in Video Event Analysis},
keywords = {Soft assignment},
pubstate = {published},
tppubtype = {article}
}
In this paper we propose a method for human action recognition based on a string kernel framework. An action is represented as a string, where each symbol composing it is associated to an aclet, that is an atomic unit of the action encoding a feature vector extracted from raw data. In this way, measuring similarities between actions leads to design a similarity measure between strings. We propose to define this string’s similarity using the global alignment kernel framework. In this context, the similarity between two aclets is computed by a novel soft evaluation method based on an enhanced gaussian kernel. The main advantage of the proposed approach lies in its ability to effectively deal with actions of different lengths or different temporal scales as well as with noise introduced during the features extraction step. The proposed method has been tested over three publicly available datasets, namely the MIVIA, the CAD and the MHAD, and the obtained results, compared with several state of the art approaches, confirm the effectiveness and the applicability of our system in real environments, where unexperienced operators can easily configure it. |
2015
|
Luc Brun; Gennaro Percannella; Alessia Saggese; Mario Vento Action recognition by using kernels on aclets sequences Journal Article Computer Vision and Image Understanding, 2015. BibTeX | Tag: Video analysis and interpretation | Links: @article{BrunAction2015,
title = {Action recognition by using kernels on aclets sequences},
author = {Luc Brun and Gennaro Percannella and Alessia Saggese and Mario Vento},
doi = {10.1016/j.cviu.2015.09.003},
year = {2015},
date = {2015-09-24},
journal = {Computer Vision and Image Understanding},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Peter Hobson; Brian C. Lovell; Gennaro Percannella; Mario Vento; Arnold Wiliem Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset Journal Article Artificial Intelligence in Medicine, 2015. BibTeX | Tag: Medical image analysis | Links: @article{Hobson15,
title = {Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset},
author = {Peter Hobson and Brian C. Lovell and Gennaro Percannella and Mario Vento and Arnold Wiliem},
doi = {10.1016/j.artmed.2015.08.001},
year = {2015},
date = {2015-08-13},
journal = {Artificial Intelligence in Medicine},
keywords = {Medical image analysis},
pubstate = {published},
tppubtype = {article}
}
|
2014
|
Luc Brun; Gennaro Percannella; Alessia Saggese; Mario Vento HacK: A System for the Recognition of Human Actions by Kernels of Visual Strings Inproceedings IEEE, (Ed.): IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2014), 2014, ISBN: 978-1-4799-4871-0/14. BibTeX | Tag: Video analysis and interpretation @inproceedings{avss14_string,
title = {HacK: A System for the Recognition of Human Actions by Kernels of Visual Strings},
author = {Luc Brun and Gennaro Percannella and Alessia Saggese and Mario Vento},
editor = {IEEE},
isbn = {978-1-4799-4871-0/14},
year = {2014},
date = {2014-08-29},
booktitle = {IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2014)},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Peter Hobson; Brian C. Lovell; Gennaro Percannella; Mario Vento; Arnold Wiliem Classifying anti-nuclear antibodies HEp-2 images: A benchmarking platform Conference 22nd International Conference on Pattern Recognition, ICPR 2014, 2014, ISSN: 10514651, (cited By 1). BibTeX | Tag: | Links: @conference{Hobson20143233,
title = {Classifying anti-nuclear antibodies HEp-2 images: A benchmarking platform},
author = {Peter Hobson and Brian C. Lovell and Gennaro Percannella and Mario Vento and Arnold Wiliem},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84919934897&partnerID=40&md5=6a6ca4c35da7b6c200ee79d7c6c6f842},
issn = {10514651},
year = {2014},
date = {2014-08-24},
booktitle = {22nd International Conference on Pattern Recognition, ICPR 2014},
journal = {Proceedings - International Conference on Pattern Recognition},
pages = {3233-3238},
note = {cited By 1},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
Giulio Iannello; Gennaro Percannella; Paolo Soda; Mario Vento Mitotic cells recognition in HEp-2 images Journal Article Pattern Recognition Letters, 2014. BibTeX | Tag: Image analysis and recognition @article{hep2_2014_prl,
title = {Mitotic cells recognition in HEp-2 images},
author = {Giulio Iannello and Gennaro Percannella and Paolo Soda and Mario Vento},
year = {2014},
date = {2014-03-12},
journal = {Pattern Recognition Letters},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {article}
}
|
Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento Pattern recognition in stained HEp-2 cells: Where are we now? Journal Article Pattern Recognition, 2014, ISSN: 0031-3203. BibTeX | Tag: Image analysis and recognition | Links: @article{hep2_2014_pr,
title = {Pattern recognition in stained HEp-2 cells: Where are we now?},
author = {Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
url = {http://www.sciencedirect.com/science/article/pii/S0031320314000284},
issn = {0031-3203},
year = {2014},
date = {2014-02-12},
journal = {Pattern Recognition},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {article}
}
|
Pasquale Foggia; Gennaro Percannella; Paolo Soda; Mario Vento Special issue on the analysis and recognition of indirect immuno-fluorescence images Journal Article Pattern Recognition, pp. 2303-2304, 2014. BibTeX | Tag: Medical image analysis @article{si_pr_2015,
title = {Special issue on the analysis and recognition of indirect immuno-fluorescence images},
author = {Pasquale Foggia and Gennaro Percannella and Paolo Soda and Mario Vento},
year = {2014},
date = {2014-01-15},
journal = {Pattern Recognition},
pages = {2303-2304},
keywords = {Medical image analysis},
pubstate = {published},
tppubtype = {article}
}
|
Vincenzo Carletti; Luca Del Pizzo; Gennaro Percannella; Mario Vento Foreground detection optimization for SoCs embedded on Smart Cameras Conference Proceedings of the 8th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2014, 2014, ISBN: 978-145032925-5, (cited By 0). BibTeX | Tag: | Links: @conference{Carletti2014,
title = {Foreground detection optimization for SoCs embedded on Smart Cameras},
author = {Vincenzo Carletti and Luca Del Pizzo and Gennaro Percannella and Mario Vento},
url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-84913586650&partnerID=40&md5=b5d3604c63763f29408dd27b9893d6b9},
isbn = {978-145032925-5},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 8th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2014},
journal = {Proceedings of the 8th ACM/IEEE International Conference on Distributed Smart Cameras, ICDSC 2014},
note = {cited By 0},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
|
2013
|
Pasquale Foggia; Gennaro Percannella; Mario Vento Graph matching and learning in Pattern Recognition in the last 10 years Journal Article International Journal of Pattern Recognition and Artificial Intelligence, 2013, ISBN: 1793-6381. BibTeX | Tag: Graph based classification and learning | Links: @article{foggia13_ijprai,
title = {Graph matching and learning in Pattern Recognition in the last 10 years},
author = {Pasquale Foggia and Gennaro Percannella and Mario Vento},
url = {http://www.worldscientific.com/doi/abs/10.1142/S0218001414500013},
isbn = {1793-6381},
year = {2013},
date = {2013-12-09},
journal = {International Journal of Pattern Recognition and Artificial Intelligence},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {article}
}
|
Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento Recognizing Human Actions by a bag of visual words Inproceedings IEEE International Conference on Systems, Man and Cybernetics, IEEE SMC 2013, 2013. BibTeX | Tag: Video analysis and interpretation @inproceedings{smc-13,
title = {Recognizing Human Actions by a bag of visual words},
author = {Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
year = {2013},
date = {2013-10-15},
booktitle = {IEEE International Conference on Systems, Man and Cybernetics, IEEE SMC 2013},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Vincenzo Carletti; Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento Recognition of human actions from RGB-D videos using a reject option Inproceedings International Workshop on Social Behaviour Analysis, SBA, pp. 436-445, Springer Berlin Heidelberg, 2013, ISBN: 978-3-642-41189-2. BibTeX | Tag: Video analysis and interpretation @inproceedings{sba-13,
title = {Recognition of human actions from RGB-D videos using a reject option},
author = {Vincenzo Carletti and Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
isbn = {978-3-642-41189-2},
year = {2013},
date = {2013-09-10},
booktitle = {International Workshop on Social Behaviour Analysis, SBA},
volume = {8158},
pages = {436-445},
publisher = {Springer Berlin Heidelberg},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Vincenzo Carletti; Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Nicola Strisciuglio; Mario Vento Audio Surveillance Using a Bag of Aural Words Classifier Inproceedings IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2013), pp. 81-86, 2013, ISBN: 10.1109/AVSS.2013.6636620. BibTeX | Tag: Audio analysis and interpretation @inproceedings{avss13,
title = {Audio Surveillance Using a Bag of Aural Words Classifier},
author = {Vincenzo Carletti and Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Nicola Strisciuglio and Mario Vento},
isbn = {10.1109/AVSS.2013.6636620},
year = {2013},
date = {2013-08-28},
booktitle = {IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2013)},
pages = {81-86},
keywords = {Audio analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rosario Di Lascio; Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento A real time algorithm for people tracking using contextual reasoning Journal Article Computer Vision and Image Understanding, 117 (8), pp. 892 - 908, 2013, ISBN: 1077-3142. Abstract | BibTeX | Tag: Video analysis and interpretation | Links: @article{cviu2013,
title = {A real time algorithm for people tracking using contextual reasoning},
author = {Rosario Di Lascio and Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
url = {http://www.sciencedirect.com/science/article/pii/S1077314213000908},
isbn = {1077-3142},
year = {2013},
date = {2013-04-30},
journal = {Computer Vision and Image Understanding},
volume = {117},
number = {8},
pages = {892 - 908},
abstract = {In this paper we present a real-time tracking algorithm that is able to deal with complex occlusions involving a plurality of moving objects simultaneously. The rationale is grounded on a suitable representation and exploitation of the recent history of each single moving object being tracked. The object history is encoded using a state, and the transitions among the states are described through a Finite State Automata (FSA). In presence of complex situations the tracking is properly solved by making the FSA’s of the involved objects interact with each other. This is the way for basing the tracking decisions not only on the information present in the current frame, but also on conditions that have been observed more stably over a longer time span. The object history can be used to reliably discern the occurrence of the most common problems affecting object detection, making this method particularly robust in complex scenarios. An experimental evaluation of the proposed approach has been made on two publicly available datasets, the ISSIA Soccer Dataset and the PETS 2010 database.},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
In this paper we present a real-time tracking algorithm that is able to deal with complex occlusions involving a plurality of moving objects simultaneously. The rationale is grounded on a suitable representation and exploitation of the recent history of each single moving object being tracked. The object history is encoded using a state, and the transitions among the states are described through a Finite State Automata (FSA). In presence of complex situations the tracking is properly solved by making the FSA’s of the involved objects interact with each other. This is the way for basing the tracking decisions not only on the information present in the current frame, but also on conditions that have been observed more stably over a longer time span. The object history can be used to reliably discern the occurrence of the most common problems affecting object detection, making this method particularly robust in complex scenarios. An experimental evaluation of the proposed approach has been made on two publicly available datasets, the ISSIA Soccer Dataset and the PETS 2010 database. |
Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento Real-Time Tracking of Single People and Groups Simultaneously by Contextual Graph-Based Reasoning Dealing Complex Occlusions Inproceedings Proceedings of the IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS), pp. 29 - 36, IEEE, 2013, ISSN: 2157-491X. BibTeX | Tag: Video analysis and interpretation @inproceedings{pets13,
title = {Real-Time Tracking of Single People and Groups Simultaneously by Contextual Graph-Based Reasoning Dealing Complex Occlusions},
author = {Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
issn = {2157-491X},
year = {2013},
date = {2013-01-17},
booktitle = {Proceedings of the IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS)},
pages = {29 - 36},
publisher = {IEEE},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Rosario Di Lascio; Pasquale Foggia; Gennaro Percannella; Mario Vento Pupil Localization by a Template Matching Method Inproceedings Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), pp. 779-782, 2013. BibTeX | Tag: Image analysis and recognition @inproceedings{pets13b,
title = {Pupil Localization by a Template Matching Method},
author = {Donatello Conte and Rosario Di Lascio and Pasquale Foggia and Gennaro Percannella and Mario Vento},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP)},
pages = {779-782},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento Counting moving persons in crowded scenes Journal Article Machine Vision and Applications, 24 (5), pp. 1029-1042, 2013, ISSN: 0932-8092. BibTeX | Tag: Video analysis and interpretation | Links: @article{mva13,
title = {Counting moving persons in crowded scenes},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
url = {http://dx.doi.org/10.1007/s00138-013-0491-3},
issn = {0932-8092},
year = {2013},
date = {2013-01-01},
journal = {Machine Vision and Applications},
volume = {24},
number = {5},
pages = {1029-1042},
publisher = {Springer-Verlag},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Pasquale Foggia; Gennaro Percannella; Paolo Soda; Mario Vento Benchmarking HEp-2 Cells Classification Methods Journal Article Medical Imaging, IEEE Transactions on, 32 (10), pp. 1878 - 1889, 2013, ISSN: 0278-0062. BibTeX | Tag: Image analysis and recognition @article{6542690,
title = {Benchmarking HEp-2 Cells Classification Methods},
author = {Pasquale Foggia and Gennaro Percannella and Paolo Soda and Mario Vento},
issn = {0278-0062},
year = {2013},
date = {2013-01-01},
journal = {Medical Imaging, IEEE Transactions on},
volume = {32},
number = {10},
pages = {1878 - 1889},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {article}
}
|
2012
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento A 3D Appearance Model for Object Tracking in Video Surveillance Applications Journal Article THE MEDITERRANEAN JOURNAL OF COMPUTERS AND NETWORKS, 8-4 , pp. 134-144, 2012, ISSN: 1744-2397. BibTeX | Tag: Video analysis and interpretation @article{med12,
title = {A 3D Appearance Model for Object Tracking in Video Surveillance Applications},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
issn = {1744-2397},
year = {2012},
date = {2012-12-03},
journal = {THE MEDITERRANEAN JOURNAL OF COMPUTERS AND NETWORKS},
volume = {8-4},
pages = {134-144},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Alessia Saggese; Mario Vento An ensemble of rejecting classifiers for anomaly detection of audio events Inproceedings Proceedings of the "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)", pp. 76-81, IEEE, 2012. BibTeX | Tag: Others @inproceedings{Conte2012_audio,
title = {An ensemble of rejecting classifiers for anomaly detection of audio events},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Alessia Saggese and Mario Vento},
year = {2012},
date = {2012-09-12},
booktitle = {Proceedings of the "IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)"},
pages = {76-81},
publisher = {IEEE},
keywords = {Others},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento Removing object reflections in videos by global optimization Journal Article Circuits and Systems for Video Technology, IEEE Transactions on, 22 (11), pp. 1623 - 1633, 2012, ISSN: 1051-8215. BibTeX | Tag: Video analysis and interpretation @article{6210370,
title = {Removing object reflections in videos by global optimization},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
issn = {1051-8215},
year = {2012},
date = {2012-01-01},
journal = {Circuits and Systems for Video Technology, IEEE Transactions on},
volume = {22},
number = {11},
pages = {1623 - 1633},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Gennaro Percannella; Paolo Soda; Mario Vento A classification-based approach to segment HEp-2 cells Inproceedings Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on, pp. 1-5, IEEE, 2012, ISSN: 1063-7125. BibTeX | Tag: Image analysis and recognition @inproceedings{6266311,
title = {A classification-based approach to segment HEp-2 cells},
author = {Gennaro Percannella and Paolo Soda and Mario Vento},
issn = {1063-7125},
year = {2012},
date = {2012-01-01},
booktitle = {Computer-Based Medical Systems (CBMS), 2012 25th International Symposium on},
pages = {1-5},
publisher = {IEEE},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2011
|
Giovanni Acampora; Vincenzo Loia; Gennaro Percannella; Mario Vento Trainable Estimators for Indirect People Counting: A Comparative Study Inproceedings Fuzzy Systems, pp. 139-145, IEEE Computational Intelligence Society, USA, 2011, ISSN: 1098-7584. BibTeX | Tag: Video analysis and interpretation @inproceedings{g.2011-2,
title = {Trainable Estimators for Indirect People Counting: A Comparative Study},
author = {Giovanni Acampora and Vincenzo Loia and Gennaro Percannella and Mario Vento},
issn = {1098-7584},
year = {2011},
date = {2011-01-01},
booktitle = {Fuzzy Systems},
pages = {139-145},
publisher = {IEEE Computational Intelligence Society},
address = {USA},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento Reflection Removal for People Detection in Video Surveillance Applications Inproceedings Proceedings of the International Conference on Image Analysis and Processing - ICIAP 2011, pp. 178-186, SPRINGER, 2011, ISSN: 9783642240843. BibTeX | Tag: Video analysis and interpretation | Links: @inproceedings{Conte2011,
title = {Reflection Removal for People Detection in Video Surveillance Applications},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
url = {http://dx.medra.org/10.1007/978-3-642-24085-0_19},
issn = {9783642240843},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the International Conference on Image Analysis and Processing - ICIAP 2011},
volume = {LNCS 6978},
pages = {178-186},
publisher = {SPRINGER},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento An Effective Method For Counting People in Video-surveillance Applications Inproceedings Proceedings of the International Conference on Computer Vision Theory and Applications, pp. 67–74, SciTePress , Science and Technology Publications, 2011, ISBN: 978-989-8425-47-8. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2011-2,
title = {An Effective Method For Counting People in Video-surveillance Applications},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
isbn = {978-989-8425-47-8},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the International Conference on Computer Vision Theory and Applications},
pages = {67--74},
publisher = {SciTePress , Science and Technology Publications},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento A MultiView Appearance Model for people re-identification Inproceedings IEEE Proceedings of the 8th International Conference on Advanced Video and Signal-Based Surveillance, pp. 297–302, IEEE, 2011, ISBN: 978-1-4577-0844-2. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2011-3,
title = {A MultiView Appearance Model for people re-identification},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
isbn = {978-1-4577-0844-2},
year = {2011},
date = {2011-01-01},
booktitle = {IEEE Proceedings of the 8th International Conference on Advanced Video and Signal-Based Surveillance},
pages = {297--302},
publisher = {IEEE},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gennaro Percannella; Paolo Soda; Mario Vento Automatic Recognition of Mitotic HEp-2 Cells Inproceedings Proceedings of the International Conference on Advances in Mass Data Analysis of Image and Signals in Medicine, Biotechnology, Chemistry and Food Industry, pp. 91-105, Ibai - publishing, DEU, 2011, ISSN: 9783942952026. BibTeX | Tag: Image analysis and recognition @inproceedings{gennaro2011,
title = {Automatic Recognition of Mitotic HEp-2 Cells},
author = {Gennaro Percannella and Paolo Soda and Mario Vento},
issn = {9783942952026},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the International Conference on Advances in Mass Data Analysis of Image and Signals in Medicine, Biotechnology, Chemistry and Food Industry},
pages = {91-105},
publisher = {Ibai - publishing},
address = {DEU},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gennaro Percannella; Paolo Soda; Mario Vento Mitotic HEp-2 Cells Recognition under Class Skew Inproceedings Proceedings of the International Conference on Image Analysis and Processing, pp. 353–362, SPRINGER, HEIDELBERG -- DEU, 2011, ISSN: 9783642240874. BibTeX | Tag: Image analysis and recognition | Links: @inproceedings{gennaro2011-1,
title = {Mitotic HEp-2 Cells Recognition under Class Skew},
author = {Gennaro Percannella and Paolo Soda and Mario Vento},
url = {http://dx.medra.org/10.1007/978-3-642-24088-1_37},
issn = {9783642240874},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the International Conference on Image Analysis and Processing},
volume = {LNCS 6979},
pages = {353--362},
publisher = {SPRINGER},
address = {HEIDELBERG -- DEU},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Gennaro Percannella; Mario Vento A Self-trainable System for Moving People Counting by Scene Partitioning Inproceedings Proceedings of the International Conference on Image Analysis and Recognition, pp. 297–306, Springer, BERLIN -- DEU, 2011, ISSN: 9783642215957. BibTeX | Tag: Video analysis and interpretation | Links: @inproceedings{g.2011,
title = {A Self-trainable System for Moving People Counting by Scene Partitioning},
author = {Gennaro Percannella and Mario Vento},
url = {http://dx.medra.org/10.1007/978-3-642-21596-4_30},
issn = {9783642215957},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the International Conference on Image Analysis and Recognition},
volume = {LNCS 6754},
pages = {297--306},
publisher = {Springer},
address = {BERLIN -- DEU},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2010
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes Journal Article EURASIP Journal on Advances in Signal Processing, 2010 , pp. 1-10, 2010, ISSN: 1110-8657. BibTeX | Tag: Video analysis and interpretation | Links: @article{conte2010,
title = {An Experimental Evaluation of Foreground Detection Algorithms in Real Scenes},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
url = {http://dx.medra.org/10.1155/2010/373941},
issn = {1110-8657},
year = {2010},
date = {2010-01-01},
journal = {EURASIP Journal on Advances in Signal Processing},
volume = {2010},
pages = {1-10},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento An Algorithm for Recovering Camouflage Errors on Moving People Inproceedings International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, pp. 365-374, Springer Verlag, Berlin, 2010, ISSN: 9783642149795. BibTeX | Tag: Video analysis and interpretation @inproceedings{Conte2010b,
title = {An Algorithm for Recovering Camouflage Errors on Moving People},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
issn = {9783642149795},
year = {2010},
date = {2010-01-01},
booktitle = {International Workshop on Structural, Syntactic, and Statistical Pattern Recognition},
volume = {6218},
pages = {365-374},
publisher = {Springer Verlag},
address = {Berlin},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento A Method for Counting Moving People in Video Surveillance Videos Journal Article EURASIP Journal on Advances in Sinal Processing, 2010 , pp. 1-10, 2010. BibTeX | Tag: Video analysis and interpretation | Links: @article{conte2010-1,
title = {A Method for Counting Moving People in Video Surveillance Videos},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
url = {http://dx.medra.org/10.1155/2010/231240},
year = {2010},
date = {2010-01-01},
journal = {EURASIP Journal on Advances in Sinal Processing},
volume = {2010},
pages = {1-10},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {article}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento A Method for Counting People in Crowded Scenes Inproceedings Atti del 5° Convegno del Gruppo Italiano Ricercatori in Pattern Recognition, pp. 180-189, A.F. Abate, M.Nappi, G. Tortora, 2010. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2010-1,
title = {A Method for Counting People in Crowded Scenes},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
year = {2010},
date = {2010-01-01},
booktitle = {Atti del 5° Convegno del Gruppo Italiano Ricercatori in Pattern Recognition},
pages = {180-189},
publisher = {A.F. Abate, M.Nappi, G. Tortora},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento Reflection removal in color videos Inproceedings 20th International Conference on Pattern Recognition (ICPR), pp. 1788–1791, IEEE Computer Society, 2010. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2010-2,
title = {Reflection removal in color videos},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
year = {2010},
date = {2010-01-01},
booktitle = {20th International Conference on Pattern Recognition (ICPR)},
pages = {1788--1791},
publisher = {IEEE Computer Society},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento Counting Moving People in Videos by Salient Points Detection Inproceedings 20th International Conference on Pattern Recognition (ICPR), pp. 1743-1746, IEEE Computer Society, 2010, ISSN: 1051-4651. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2010-3,
title = {Counting Moving People in Videos by Salient Points Detection},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
issn = {1051-4651},
year = {2010},
date = {2010-01-01},
booktitle = {20th International Conference on Pattern Recognition (ICPR)},
pages = {1743-1746},
publisher = {IEEE Computer Society},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Francesco Tufano; Mario Vento A Method for Counting People in Crowded Scenes Inproceedings Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 225-232, IEEE Computer Society, 2010, ISBN: 978-0-7695-4264-5. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2010-6,
title = {A Method for Counting People in Crowded Scenes},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Francesco Tufano and Mario Vento},
isbn = {978-0-7695-4264-5},
year = {2010},
date = {2010-01-01},
booktitle = {Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance},
pages = {225-232},
publisher = {IEEE Computer Society},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento Performance Evaluation of a People Tracking System on PETS2009 Database Inproceedings Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 119–ì126, IEEE Computer Society, 2010, ISBN: 978-1-4244-8310-5. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2010-4,
title = {Performance Evaluation of a People Tracking System on PETS2009 Database},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
isbn = {978-1-4244-8310-5},
year = {2010},
date = {2010-01-01},
booktitle = {Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance},
pages = {119--ì126},
publisher = {IEEE Computer Society},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Donatello Conte; Pasquale Foggia; Gennaro Percannella; Mario Vento A Method Based on the Indirect Approach for Counting People in Crowded Scenes Inproceedings Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance, pp. 111-118, IEEE Computer Society, 2010, ISBN: 978-1-4244-8310-5. BibTeX | Tag: Video analysis and interpretation @inproceedings{d.2010-5,
title = {A Method Based on the Indirect Approach for Counting People in Crowded Scenes},
author = {Donatello Conte and Pasquale Foggia and Gennaro Percannella and Mario Vento},
isbn = {978-1-4244-8310-5},
year = {2010},
date = {2010-01-01},
booktitle = {Seventh IEEE International Conference on Advanced Video and Signal Based Surveillance},
pages = {111-118},
publisher = {IEEE Computer Society},
keywords = {Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Gennaro Percannella; Paolo Soda; Mario Vento Early Experiences in Mitotic Cells Recognition on HEp-2 Slides Inproceedings Proceedings of the XXIII International Symposium on Computer-Based Medical Systems, pp. 38-43, IEEE Computer Society, USA, 2010, ISSN: 1063-7125. BibTeX | Tag: Image analysis and recognition @inproceedings{p.2010,
title = {Early Experiences in Mitotic Cells Recognition on HEp-2 Slides},
author = {Pasquale Foggia and Gennaro Percannella and Paolo Soda and Mario Vento},
issn = {1063-7125},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the XXIII International Symposium on Computer-Based Medical Systems},
pages = {38-43},
publisher = {IEEE Computer Society},
address = {USA},
keywords = {Image analysis and recognition},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2009
|
Pasquale Foggia; Gennaro Percannella; Carlo Sansone; Mario Vento Benchmarking graph-based clustering algorithms Journal Article Image and Vision Computing, 27 , pp. 979–988, 2009. BibTeX | Tag: Graph based classification and learning | Links: @article{p.2009,
title = {Benchmarking graph-based clustering algorithms},
author = {Pasquale Foggia and Gennaro Percannella and Carlo Sansone and Mario Vento},
url = {http://dx.medra.org/10.1016/j.imavis.2008.05.002},
year = {2009},
date = {2009-01-01},
journal = {Image and Vision Computing},
volume = {27},
pages = {979--988},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {article}
}
|
Giulio Iannello; Gennaro Percannella; Carlo Sansone; Paolo Soda On the use of classification reliability for improving performance of the one-per-class decomposition method Journal Article DATA & KNOWLEDGE ENGINEERING, 68 , pp. 1398–1410, 2009. BibTeX | Tag: Classification Paradigms | Links: @article{iannello2009,
title = {On the use of classification reliability for improving performance of the one-per-class decomposition method},
author = {Giulio Iannello and Gennaro Percannella and Carlo Sansone and Paolo Soda},
url = {http://dx.medra.org/10.1016/j.datak.2009.07.003},
year = {2009},
date = {2009-01-01},
journal = {DATA & KNOWLEDGE ENGINEERING},
volume = {68},
pages = {1398--1410},
keywords = {Classification Paradigms},
pubstate = {published},
tppubtype = {article}
}
|
2008
|
Pasquale Foggia; Gennaro Percannella; Carlo Sansone; Mario Vento A Graph-Based Algorithm for Cluster Detection Journal Article International Journal of Pattern Recognition and Artificial Intelligence, 22 , pp. 843–860, 2008. BibTeX | Tag: Graph based classification and learning | Links: @article{foggia2008,
title = {A Graph-Based Algorithm for Cluster Detection},
author = {Pasquale Foggia and Gennaro Percannella and Carlo Sansone and Mario Vento},
url = {http://dx.medra.org/10.1142/S0218001408006557},
year = {2008},
date = {2008-01-01},
journal = {International Journal of Pattern Recognition and Artificial Intelligence},
volume = {22},
pages = {843--860},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {article}
}
|
2007
|
Leandro D'Anna; Gennaro Percannella; Carlo Sansone; Mario Vento A Multi-Stage Approach for Broadcast News Segmentation Inproceedings IV Convegno Nazionale dell'Associazione Italiana di Scienze della Voce, pp. –––, EDK editore, 2007. BibTeX | Tag: Others @inproceedings{d'anna2007,
title = {A Multi-Stage Approach for Broadcast News Segmentation},
author = {Leandro D'Anna and Gennaro Percannella and Carlo Sansone and Mario Vento},
year = {2007},
date = {2007-01-01},
booktitle = {IV Convegno Nazionale dell'Associazione Italiana di Scienze della Voce},
pages = {------},
publisher = {EDK editore},
keywords = {Others},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Leandro D'Anna; Gennaro Percannella; Carlo Sansone; Mario Vento A Multi-Stage Approach for News Video Segmentation based on Automatic Anchorperson number detection Inproceedings -, pp. 229–234, IEEE Computer Society, Los Alamitos, CA -- USA, 2007. BibTeX | Tag: Others, Video analysis and interpretation | Links: @inproceedings{d'anna2007-1,
title = {A Multi-Stage Approach for News Video Segmentation based on Automatic Anchorperson number detection},
author = {Leandro D'Anna and Gennaro Percannella and Carlo Sansone and Mario Vento},
url = {http://dx.medra.org/10.1109/UBICOMM.2007.3},
year = {2007},
date = {2007-01-01},
booktitle = {-},
volume = {1},
pages = {229--234},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA -- USA},
keywords = {Others, Video analysis and interpretation},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Gennaro Percannella; Carlo Sansone; Mario Vento A Graph-Based Clustering Method and Its Applications Inproceedings Proceedings of the International Conference on Advances in Brain, Vision and Artificial Intelligence, pp. 277–287, Springer-Verlag, Berlin, FRG, Berlin, FRG -- DEU, 2007, ISSN: 978-3-540-75554-8. BibTeX | Tag: Graph based classification and learning | Links: @inproceedings{Foggia2007,
title = {A Graph-Based Clustering Method and Its Applications},
author = {Pasquale Foggia and Gennaro Percannella and Carlo Sansone and Mario Vento},
url = {http://dx.medra.org/10.1007/978-3-540-75555-5_26},
issn = {978-3-540-75554-8},
year = {2007},
date = {2007-01-01},
booktitle = {Proceedings of the International Conference on Advances in Brain, Vision and Artificial Intelligence},
volume = {4729},
pages = {277--287},
publisher = {Springer-Verlag, Berlin, FRG},
address = {Berlin, FRG -- DEU},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Gennaro Percannella; Carlo Sansone; Mario Vento Assessing the Performance of a Graph-based Clustering Algorithm Inproceedings Proceedings of the International Workshop on Graph-Based Representations in Pattern Recognition, pp. 215–227, Springer-Verlag, Berlin, FRG, Berlin, FRG -- DEU, 2007, ISSN: 978-3-540-72902-0. BibTeX | Tag: Graph based classification and learning | Links: @inproceedings{foggia2007-1,
title = {Assessing the Performance of a Graph-based Clustering Algorithm},
author = {Pasquale Foggia and Gennaro Percannella and Carlo Sansone and Mario Vento},
url = {http://dx.medra.org/10.1007/978-3-540-72903-7},
issn = {978-3-540-72902-0},
year = {2007},
date = {2007-01-01},
booktitle = {Proceedings of the International Workshop on Graph-Based Representations in Pattern Recognition},
volume = {4538},
pages = {215--227},
publisher = {Springer-Verlag, Berlin, FRG},
address = {Berlin, FRG -- DEU},
keywords = {Graph based classification and learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Gennaro Percannella; Carlo Sansone; Mario Vento Evaluating Classification Reliability for Combining Classifiers Inproceedings -, pp. 711–716, IEEE Computer Society, 2007. BibTeX | Tag: Classification Paradigms | Links: @inproceedings{foggia2007-4,
title = {Evaluating Classification Reliability for Combining Classifiers},
author = {Pasquale Foggia and Gennaro Percannella and Carlo Sansone and Mario Vento},
url = {http://dx.medra.org/10.1109/ICIAP.2007.4362860},
year = {2007},
date = {2007-01-01},
booktitle = {-},
pages = {711--716},
publisher = {IEEE Computer Society},
keywords = {Classification Paradigms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pasquale Foggia; Gennaro Percannella; Carlo Sansone; Mario Vento On Rejecting Unreliably Classified Patterns Inproceedings Proceedings of the International Conference on Multiple Classifier Systems, pp. 282–291, Springer-Verlag, Berlin, FRG, Berlin, FRG -- DEU, 2007, ISSN: 978-3-540-72481-0. BibTeX | Tag: Classification Paradigms | Links: @inproceedings{Foggia2007a,
title = {On Rejecting Unreliably Classified Patterns},
author = {Pasquale Foggia and Gennaro Percannella and Carlo Sansone and Mario Vento},
url = {http://dx.medra.org/10.1007/978-3-540-72523-7_29},
issn = {978-3-540-72481-0},
year = {2007},
date = {2007-01-01},
booktitle = {Proceedings of the International Conference on Multiple Classifier Systems},
volume = {4472},
pages = {282--291},
publisher = {Springer-Verlag, Berlin, FRG},
address = {Berlin, FRG -- DEU},
keywords = {Classification Paradigms},
pubstate = {published},
tppubtype = {inproceedings}
}
|
