Shift-invariant sparse coding for audio classification

Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007

Volumn , Issue , 2007, Pages 149-158

  Grosse, Roger ^a   Raina, Rajat ^a   Kwong, Helen ^b   Ng, Andrew Y ^a  

^a Stanford University   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO CLASSIFICATION; BASIS FUNCTIONS; CLASSIFICATION TASKS; CONSTRAINED LINEAR LEAST SQUARES; CONVEX OPTIMIZATION PROBLEMS; EFFICIENT ALGORITHM; EXACT SOLUTION; FOURIER DOMAINS; HUMAN VISUAL CORTEX; LINEAR COEFFICIENTS; LINEAR COMBINATIONS; LINEAR LEAST SQUARES PROBLEMS; SHIFT INVARIANT; SPARSE CODING; STATE OF THE ART; SUPERVISED CLASSIFICATION; SUPERVISED LEARNING PROBLEMS; UNLABELED DATA;

ARTIFICIAL INTELLIGENCE; AUDIO ACOUSTICS; CONVEX OPTIMIZATION; HEURISTIC METHODS; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; SURFACE RECONSTRUCTION;

LEARNING ALGORITHMS;

EID: 80053205731     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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