Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories

Computer Vision and Image Understanding

Volumn 106, Issue 1, 2007, Pages 59-70

  Fei Fei, Li ^a   Fergus, Rob ^b   Perona, Pietro ^c  

^a PRINCETON UNIVERSITY   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Bayesian model; Categorization; Generative model; Incremental learning; Object recognition

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD;

BAYESIAN MODEL; CATEGORIZATION; GENERATIVE MODEL; INCREMENTAL LEARNING;

OBJECT RECOGNITION;

EID: 34047174674     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2005.09.012     Document Type: Article

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