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Learning methods for generic object recognition with invariance to pose and lighting

Author
LECUN, Yann1 ; FU JIE HUANG1 ; BOTTOU, Léon2
[1] The Courant Institute, New York University 715 Broadway, New York, NY 10003, United States
[2] NEC Labs America, 4 Independence Way, Princeton, NJ 08540, United States
Conference title
CVPR 2004 (proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition)
Conference name
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Washington DC 2004-06-27)
Author (monograph)
IEEE computer society, United States (Organiser of meeting)
Source

CVPR 2004 (proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition). 2004 ; Vol2, 97-104 ; ref : 26 ref

ISBN
0-7695-2158-4
Scientific domain
Computer science; Telecommunications
Publisher
IEEE Computer Society, Los Alamitos, California
Publication country
United States
Document type
Conference Paper
Language
English
Keyword (fr)
Analyse composante principale Analyse statistique Automobile Avion Basse résolution Camion Echelle gris Eclairage Fouillis écho Invariance Jouet Locomotion avec jambes Machine exemple support Marche à pied Plus proche voisin Reconnaissance forme Reconnaissance objet Résolution image Scène naturelle Segmentation Temps réel Traitement image stéréoscopique Traitement image Variabilité Vision ordinateur
Keyword (en)
Principal component analysis Statistical analysis Motor car Airplane Low resolution Lorry Gray scale Lighting Clutter Invariance Toy Legged locomotion Vector support machine Walking Nearest neighbour Pattern recognition Object recognition Image resolution Natural scenes Segmentation Real time Stereo image processing Image processing Variability Computer vision
Keyword (es)
Análisis componente principal Análisis estadístico Automóvil Avión Baja resolución Camión Escala gris Alumbrado Confusión eco Invarianza Juguete Máquina ejemplo soporte Caminata Vecino más cercano Reconocimiento patrón Resolución imagen Segmentación Tiempo real Procesamiento imagen Variabilidad Visión ordenador
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C03 Pattern recognition. Digital image processing. Computational geometry

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17623296

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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