Discovering scene categories by information projection and cluster sampling

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 3455-3462

  Dai, Dengxin ^a,c   Wu, Tianfu ^a,b   Zhu, Song Chun ^a,b  

^a Lotus Hill Research Institute LHI   (China)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c WUHAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC FEATURE SELECTION; BAYESIAN FRAMEWORKS; BAYESIAN POSTERIOR PROBABILITIES; CLUSTER NUMBERS; CLUSTER SAMPLING; DATA SETS; GENERATIVE MODEL; GRAPH PARTITION PROBLEM; HETEROGENEOUS FEATURES; IMAGE SETS; OPTIMAL CLUSTERING; SCENE CATEGORIZATION;

BAYESIAN NETWORKS; COMPUTER VISION; OPTIMIZATION;

FEATURE EXTRACTION;

EID: 77956003388     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539982     Document Type: Conference Paper

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