Face membership authentication using SVM classification tree generated by membership-based LLE data partition
- Author
- SHAONING PANG1 ; KIM, Daijin SR2 ; SUNG YANG BANG2
[1] Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland 1020, New Zealand
[2] Department of Computer Science and Engineering, Pohang University of Science and Technology, Nam-Gu, Pohang, 790-784, Korea, Republic of - Source
IEEE transactions on neural networks. 2005, Vol 16, Num 2, pp 436-446, 11 p ; ref : 45 ref
- CODEN
- ITNNEP
- ISSN
- 1045-9227
- Scientific domain
- Electronics; Computer science; Psychology, psychopathology, psychiatry
- Publisher
- Institute of Electrical and Electronics Engineers, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Keyword (fr)
- Analyse amas Analyse statistique Authentification Classification Machine exemple support Modèle agrégé Méthode diviser pour régner Robustesse Réseau neuronal Partition donnée
- Keyword (en)
- Cluster analysis Statistical analysis Authentication Classification Vector support machine Aggregate model Divide and conquer method Robustness Neural network Data partition
- Keyword (es)
- Analisis cluster Análisis estadístico Autenticación Clasificación Máquina ejemplo soporte Modelo agregado Método dividir para vencer Robustez Red neuronal Partición dato
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16577306
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
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DOI
10.1109/TNN.2004.841776 
https://dx.doi.org/10.1109/TNN.2004.841776
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