Pairwise constraints based multiview features fusion for scene classification

Pattern Recognition

Volumn 46, Issue 2, 2013, Pages 483-496

  Yu, Jun ^a   Tao, Dacheng ^b   Rui, Yong ^c   Cheng, Jun ^d,e  

^a XIAMEN UNIVERSITY   (China)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^c MICROSOFT RESEARCH ASIA   (China)

^d SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^e CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Fusion; Multiview dimensionality reduction; Scene classification; User labeling information

Indexed keywords

ALTERNATING OPTIMIZATIONS; CALTECH; COMPLEMENTARY CHARACTERISTICS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; DISCRIMINABILITY; EXCELLENT PERFORMANCE; LABELING PROCEDURES; LOW-DIMENSIONAL SUBSPACE; MULTI-VIEWS; MULTIPLE FEATURES; NATURAL SCENES; PAIRWISE CONSTRAINTS; QUERY IMAGES; REAL APPLICATIONS; REAL-WORLD DATASETS; SCENE CLASSIFICATION; SCENE IMAGE; SEMANTIC GAP; SHAPE CLASSIFICATION; USER LABELING INFORMATION;

FUSION REACTIONS; SEARCH ENGINES; SEMANTICS;

CLASSIFICATION (OF INFORMATION);

EID: 84867403981     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.08.006     Document Type: Article

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