A study of regularized Gaussian classifier in high-dimension small sample set case based on MDL principle with application to spectrum recognition
- Author
- PING GUO1 2 ; YUNDE JIA1 ; LYU, Michael R3
[1] School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China
[2] Laboratory of Image Processing and Pattern Recognition, Beijing Normal University, Beijing, 100875, China
[3] Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong-Kong - Source
Pattern recognition. 2008, Vol 41, Num 9, pp 2842-2854, 13 p ; ref : 45 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
- Classification Covariance matrix estimation Discriminant analysis method Minimum description length Regularization parameter selection
- Keyword (fr)
- Analyse discriminante Classification automatique Classification signal Critère MDL Matrice covariance Précision Reconnaissance forme
- Keyword (en)
- Discriminant analysis Automatic classification Signal classification MDL criterion Covariance matrix Accuracy Pattern recognition
- Keyword (es)
- Análisis discriminante Clasificación automática MDL criterio Matriz covariancia Precisión Reconocimiento patrón
- 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 / 001D04A05 Signal processing / 001D04A05A Pattern recognition
- Discipline
- Telecommunications and information theory
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 20443398
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.patcog.2008.02.004 
https://dx.doi.org/10.1016/j.patcog.2008.02.004
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