Informative feature selection for object recognition via Sparse PCA

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2011, Pages 818-825

  Naikal, Nikhil ^a   Yang, Allen Y ^a   Shankar, Sastry ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUGMENTED LAGRANGIAN METHODS; BAG OF WORDS; BREAK DOWN; EFFICIENT ALGORITHM; EPIPOLAR GEOMETRY; HIGH-DIMENSIONAL; IMAGE FEATURES; IMAGE SEGMENTS; LOW QUALITIES; LOW-DIMENSIONAL SUBSPACE; MULTIPLE-VIEW; OBJECT CATEGORIES; OBJECT DATABASE; PRINCIPAL VECTORS; RECOGNITION ACCURACY; RECOGNITION METHODS; RECOGNITION PROCESS; SEMIDEFINITE PROGRAMMING PROBLEM; STATE OF THE ART; STRUCTURE FROM MOTION;

ALGORITHMS; FACE RECOGNITION; FEATURE EXTRACTION; GRAPHIC METHODS; LAGRANGE MULTIPLIERS; MATHEMATICAL PROGRAMMING; STATISTICAL METHODS;

OBJECT RECOGNITION;

EID: 84856647878     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2011.6126321     Document Type: Conference Paper

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