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Marginal fisher analysis and its variants for human gait recognition and content-based image retrieval

Author
DONG XU1 ; SHUICHENG YAN1 ; DACHENG TAO2 ; LIN, Stephen3 ; ZHANG, Hong-Jiang4
[1] School of Computer Engineering, Nanyang Technological University, Singapore 639798, Singapore
[2] Biometrics Research Centre, Department of Computing, The Hong Kong Polytechnic University, Hong-Kong
[3] Microsoft Research Asia, Beijing 100080, China
[4] Advanced Technology Center, Microsoft Research, Beijing 100080, China
Source

IEEE transactions on image processing. 2007, Vol 16, Num 11, pp 2811-2821, 11 p ; ref : 34 ref

ISSN
1057-7149
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Content-based image retrieval (CBIR) dimensionality reduction gait recognition marginal Fisher analysis (MFA) relevance feedback
Keyword (fr)
Algorithme Analyse allure Banque image Base donnée Evaluation performance Fonction objectif Identification Image niveau gris Recherche image Recherche information Recherche par contenu Solution optimale
Keyword (en)
Algorithm Gait analysis Image databank Database Performance evaluation Objective function Identification Grey level image Image retrieval Information retrieval Content-based retrieval Optimal solution
Keyword (es)
Algoritmo Banco imagen Base dato Evaluación prestación Función objetivo Identificación Imagen nivel gris Búsqueda información Solución óptima
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A03 Information theory

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
19179920

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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