A one-pass resource-allocating codebook for patch-based visual object recognition

Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010

Volumn , Issue , 2010, Pages 35-40

  Ramanan, Amirthalingam ^a   Niranjan, Mahesan ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CODEBOOK DESIGN; CODEBOOKS; HIGH DENSITY; INPUT SPACE; INTEREST POINTS; LOW-LEVEL FEATURES; LOW-LEVEL IMAGE FEATURES; ONE-PASS; RESOURCE ALLOCATING NETWORKS; VISUAL FEATURE; VISUAL OBJECT RECOGNITION;

CLUSTER ANALYSIS; FEATURE EXTRACTION; LEARNING SYSTEMS; NEURAL NETWORKS; SIGNAL PROCESSING;

OBJECT RECOGNITION;

EID: 78449306028     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2010.5589204     Document Type: Conference Paper

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