Classification in the presence of class noise using a probabilistic Kernel Fisher method
- Author
- YUNLEI LI1 ; WESSELS, Lodewyk F. A1 2 ; DE RIDDER, Dick1 ; REINDERS, Marcel J. T1
[1] Information and Communication Theory Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD Delft, Netherlands
[2] Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, Netherlands - Source
Pattern recognition. 2007, Vol 40, Num 12, pp 3349-3357, 9 p ; ref : 30 ref
- CODEN
- PTNRA8
- ISSN
- 0031-3203
- Scientific domain
- Computer science; Telecommunications
- Publisher
- Elsevier Science, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Class noise Classification Kernel Fisher discriminant Labeling noise
- Keyword (fr)
- Algorithme Analyse discriminante Apprentissage Approche probabiliste Classification automatique Classification signal Dégradation Evaluation performance Méthode noyau
- Keyword (en)
- Algorithm Discriminant analysis Learning Probabilistic approach Automatic classification Signal classification Degradation Performance evaluation Kernel method
- Keyword (es)
- Algoritmo Análisis discriminante Aprendizaje Enfoque probabilista Clasificación automática Degradación Evaluación prestación Método núcleo
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A1 Signal representation. Spectral analysis
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19013858
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Access to the document
Install on your browser
DOI
10.1016/j.patcog.2007.05.006 
https://dx.doi.org/10.1016/j.patcog.2007.05.006
"O:13:\"PanistOpenUrl\":36:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000idc\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.patcog.2007.05.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2007\";s:9:\"\u0000*\u0000volume\";s:2:\"40\";s:8:\"\u0000*\u0000issue\";s:2:\"12\";s:8:\"\u0000*\u0000spage\";s:4:\"3349\";s:8:\"\u0000*\u0000epage\";s:4:\"3357\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:9:\"YUNLEI LI\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:21:\"WESSELS, Lodewyk F. A\";i:1;s:15:\"DE RIDDER, Dick\";i:2;s:21:\"REINDERS, Marcel J. T\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"9\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Panist access
"O:12:\"IstexOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.patcog.2007.05.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2007\";s:9:\"\u0000*\u0000volume\";s:2:\"40\";s:8:\"\u0000*\u0000issue\";s:2:\"12\";s:8:\"\u0000*\u0000spage\";s:4:\"3349\";s:8:\"\u0000*\u0000epage\";s:4:\"3357\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:9:\"YUNLEI LI\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:21:\"WESSELS, Lodewyk F. A\";i:1;s:15:\"DE RIDDER, Dick\";i:2;s:21:\"REINDERS, Marcel J. T\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"9\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Istex access
"O:16:\"UnpaywallOpenUrl\":35:{s:8:\"\u0000*\u0000email\";s:27:\"assistance-portail@inist.fr\";s:6:\"\u0000*\u0000fmt\";N;s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.patcog.2007.05.006\";s:6:\"\u0000*\u0000pii\";N;s:7:\"\u0000*\u0000pmid\";N;s:9:\"\u0000*\u0000atitle\";N;s:9:\"\u0000*\u0000jtitle\";N;s:9:\"\u0000*\u0000stitle\";N;s:7:\"\u0000*\u0000date\";N;s:9:\"\u0000*\u0000volume\";N;s:8:\"\u0000*\u0000issue\";N;s:8:\"\u0000*\u0000spage\";N;s:8:\"\u0000*\u0000epage\";N;s:8:\"\u0000*\u0000pages\";N;s:7:\"\u0000*\u0000issn\";N;s:8:\"\u0000*\u0000eissn\";N;s:9:\"\u0000*\u0000aulast\";N;s:10:\"\u0000*\u0000aufirst\";N;s:9:\"\u0000*\u0000auinit\";N;s:10:\"\u0000*\u0000auinitm\";N;s:5:\"\u0000*\u0000au\";N;s:9:\"\u0000*\u0000aucorp\";N;s:7:\"\u0000*\u0000isbn\";N;s:8:\"\u0000*\u0000coden\";N;s:8:\"\u0000*\u0000genre\";N;s:7:\"\u0000*\u0000part\";N;s:9:\"\u0000*\u0000btitle\";N;s:8:\"\u0000*\u0000title\";N;s:8:\"\u0000*\u0000place\";N;s:6:\"\u0000*\u0000pub\";N;s:10:\"\u0000*\u0000edition\";N;s:9:\"\u0000*\u0000tpages\";N;s:9:\"\u0000*\u0000series\";N;s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";N;}"
Unpaywall access
"O:16:\"EuropePMCOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.patcog.2007.05.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2007\";s:9:\"\u0000*\u0000volume\";s:2:\"40\";s:8:\"\u0000*\u0000issue\";s:2:\"12\";s:8:\"\u0000*\u0000spage\";s:4:\"3349\";s:8:\"\u0000*\u0000epage\";s:4:\"3357\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:9:\"YUNLEI LI\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:21:\"WESSELS, Lodewyk F. A\";i:1;s:15:\"DE RIDDER, Dick\";i:2;s:21:\"REINDERS, Marcel J. T\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"9\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Europe PubMed Central access
"O:11:\"BaseOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.patcog.2007.05.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2007\";s:9:\"\u0000*\u0000volume\";s:2:\"40\";s:8:\"\u0000*\u0000issue\";s:2:\"12\";s:8:\"\u0000*\u0000spage\";s:4:\"3349\";s:8:\"\u0000*\u0000epage\";s:4:\"3357\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:9:\"YUNLEI LI\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:21:\"WESSELS, Lodewyk F. A\";i:1;s:15:\"DE RIDDER, Dick\";i:2;s:21:\"REINDERS, Marcel J. T\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"9\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
Base Search access
"O:12:\"ArXivOpenUrl\":35:{s:10:\"\u0000*\u0000openUrl\";N;s:6:\"\u0000*\u0000fmt\";s:7:\"journal\";s:6:\"\u0000*\u0000doi\";s:28:\"10.1016\/j.patcog.2007.05.006\";s:6:\"\u0000*\u0000pii\";s:0:\"\";s:7:\"\u0000*\u0000pmid\";s:0:\"\";s:9:\"\u0000*\u0000atitle\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:9:\"\u0000*\u0000jtitle\";s:19:\"Pattern recognition\";s:9:\"\u0000*\u0000stitle\";s:14:\"Pattern recogn\";s:7:\"\u0000*\u0000date\";s:4:\"2007\";s:9:\"\u0000*\u0000volume\";s:2:\"40\";s:8:\"\u0000*\u0000issue\";s:2:\"12\";s:8:\"\u0000*\u0000spage\";s:4:\"3349\";s:8:\"\u0000*\u0000epage\";s:4:\"3357\";s:8:\"\u0000*\u0000pages\";s:0:\"\";s:7:\"\u0000*\u0000issn\";s:9:\"0031-3203\";s:8:\"\u0000*\u0000eissn\";s:0:\"\";s:9:\"\u0000*\u0000aulast\";s:9:\"YUNLEI LI\";s:10:\"\u0000*\u0000aufirst\";s:0:\"\";s:9:\"\u0000*\u0000auinit\";s:0:\"\";s:10:\"\u0000*\u0000auinitm\";s:0:\"\";s:5:\"\u0000*\u0000au\";a:3:{i:0;s:21:\"WESSELS, Lodewyk F. A\";i:1;s:15:\"DE RIDDER, Dick\";i:2;s:21:\"REINDERS, Marcel J. T\";}s:9:\"\u0000*\u0000aucorp\";s:0:\"\";s:7:\"\u0000*\u0000isbn\";s:0:\"\";s:8:\"\u0000*\u0000coden\";s:6:\"PTNRA8\";s:8:\"\u0000*\u0000genre\";s:7:\"article\";s:7:\"\u0000*\u0000part\";s:0:\"\";s:9:\"\u0000*\u0000btitle\";s:0:\"\";s:8:\"\u0000*\u0000title\";s:88:\"Classification in the presence of class noise using a probabilistic Kernel Fisher method\";s:8:\"\u0000*\u0000place\";s:6:\"Oxford\";s:6:\"\u0000*\u0000pub\";s:16:\"Elsevier Science\";s:10:\"\u0000*\u0000edition\";s:0:\"\";s:9:\"\u0000*\u0000tpages\";s:1:\"9\";s:9:\"\u0000*\u0000series\";s:0:\"\";s:8:\"\u0000*\u0000proxy\";s:30:\"http:\/\/proxyout.inist.fr:8080\/\";s:12:\"\u0000*\u0000integrite\";b:1;}"
arXiv access
