Heterogeneous visual features fusion via sparse multimodal machine

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

Volumn , Issue , 2013, Pages 3097-3102

  Wang, Hua ^a   Nie, Feiping ^a   Huang, Heng ^a,b   Ding, Chris ^b  

^a Department of Geology and Geological Engineering   (United States)

^b University of Texas at Arlington   (United States)

Author keywords

Data Integration; Structured Sparsity; Visual Features Fusion

Indexed keywords

GLOBAL CONVER-GENCE; HETEROGENEOUS FEATURES; MULTI-MODAL LEARNING; OBJECT CATEGORIZATION; OPTIMIZATION ALGORITHMS; SCENE UNDERSTANDING; STRUCTURED SPARSITIES; VISUAL FEATURE;

ALGORITHMS; DATA INTEGRATION; PATTERN RECOGNITION;

IMAGE CLASSIFICATION;

EID: 84887363909     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.398     Document Type: Conference Paper

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