Reducing the number of sub-classifiers for pairwise multi-category support vector machines
- Author
- WANG YE1 ; SHANG-TENG, Huang1
[1] Department of Computer Science and Engineering, Shanghai JiaoTong University, China - Source
Pattern recognition letters. 2007, Vol 28, Num 15, pp 2088-2093, 6 p ; ref : 1/2 p
- CODEN
- PRLEDG
- ISSN
- 0167-8655
- Scientific domain
- Computer science; Telecommunications
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Multi-category classification Pairwise SVM Uncertainty sampling
- Keyword (fr)
- Apprentissage Classification automatique Classification signal Echantillonnage Machine vecteur support Redondance
- Keyword (en)
- Learning Automatic classification Signal classification Sampling Support vector machine Redundancy
- Keyword (es)
- Aprendizaje Clasificación automática Muestreo Máquina vector soporte Redundancia
- 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
- 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 / 001D04A04C Sampling, quantization
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19127341
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
10.1016/j.patrec.2007.06.020 
https://dx.doi.org/10.1016/j.patrec.2007.06.020
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