Encoding high dimensional local features by sparse coding based fisher vectors

Advances in Neural Information Processing Systems

Volumn 2, Issue January, 2014, Pages 1143-1151

  Liu, Lingqiao ^a   Shen, Chunhua ^a,b   Wang, Lei ^c   Van Den Hengel, Anton ^a,b   Wang, Chao ^c  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b AUSTRALIAN CENTRE FOR ROBOTIC VISION   (Australia)

^c UNIVERSITY OF WOLLONGONG   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); ENCODING (SYMBOLS); GAUSSIAN DISTRIBUTION; IMAGE CODING; INFORMATION SCIENCE; NEURAL NETWORKS; OBJECT RECOGNITION; VECTORS;

CONVOLUTIONAL NEURAL NETWORK; EXPERIMENTAL EVALUATION; GAUSSIAN MIXTURE MODEL; GENERATION PROCESS; GENERIC OBJECT RECOGNITION; HIGH DIMENSIONAL FEATURE; HIGHER-DIMENSIONAL; STATE-OF-THE-ART PERFORMANCE;

IMAGE CLASSIFICATION;

EID: 84937940212     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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