Geometric latent dirichlet allocation on a matching graph for large-scale image datasets

International Journal of Computer Vision

Volumn 95, Issue 2, 2011, Pages 138-153

  Philbin, James ^a   Sivic, Josef ^b   Zisserman, Andrew ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b Centre National de la Recherche Scientifique   (France)

Author keywords

Large scale retrieval; Object discovery; Topic generative models

Indexed keywords

CLUSTERING TECHNIQUES; COMPUTATIONAL COSTS; DATA SETS; GROUND TRUTH; IMAGE COLLECTIONS; IMAGE DATASETS; INFERENCE TECHNIQUES; LARGE DATASETS; LARGE-SCALE RETRIEVAL; LATENT DIRICHLET ALLOCATION; LATENT TOPIC MODEL; MATCHING GRAPH; OBJECT DISCOVERY; SCALABLE METHODS; TOPIC/GENERATIVE MODELS; VISUAL WORD;

MODELS; SCALABILITY;

DATA PROCESSING;

EID: 80052657842     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-010-0363-5     Document Type: Article

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