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How to Estimate the Regularization Parameter for Spectral Regression Discriminant Analysis and its Kernel Version?

Author
JIE GUI1 2 ; ZHENAN SUN3 ; JUN CHENG4 ; SHUIWANG JI5 ; XINDONG WU6
[1] Hefei Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China
[2] Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
[3] Center for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
[4] Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
[5] Department of Computer Science, Old Dominion University, Norfolk 235290162, United States
[6] Department of Computer Science, University of Vermont, Burlington 05401, United States
Source

IEEE transactions on circuits and systems for video technology. 2014, Vol 24, Num 2, pp 211-223, 13 p ; ref : 67 ref

ISSN
1051-8215
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Kernel methods perturbation linear discriminant analysis regularization parameter estimation spectral regression discriminant analysis
Keyword (fr)
Analyse discriminante Analyse régression Analyse signal Analyse spectre Analyse texte Apprentissage Base de données Biométrie Circuit accordable Echelle grande Estimation optimale Estimation paramètre Evaluation performance Méthode noyau Méthode perturbation Méthode sous espace Performance algorithme Reconnaissance automatique Reconnaissance caractère manuscrit Reconnaissance forme Reconnaissance visage Traitement image
Keyword (en)
Discriminant analysis Regression analysis Signal analysis Spectrum analysis Text analysis Learning Database Biometrics Tunable circuit Large scale Optimal estimation Parameter estimation Performance evaluation Kernel method Perturbation method Subspace method Algorithm performance Automatic recognition Handwritten character recognition Pattern recognition Face recognition Image processing
Keyword (es)
Análisis discriminante Análisis regresión Análisis de señal Análisis espectro Aprendizaje Base dato Biometría Circuito acordable Escala grande Estimación óptima Estimación parámetro Evaluación prestación Método núcleo Método perturbación Método subespacio Resultado algoritmo Reconocimiento automático Reconocimiento patrón Procesamiento imagen
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 / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction

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

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28231985

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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