Cross-domain object recognition via input-output kernel analysis

IEEE Transactions on Image Processing

Volumn 22, Issue 8, 2013, Pages 3108-3119

  Guo, Zhenyu ^a   Wang, Z Jane ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Domain adaptation; Multiple Kernel Learning; Object Recognition; Output Kernel

Indexed keywords

CROSS-DOMAIN LEARNING; DOMAIN ADAPTATION; FEATURE DISTRIBUTION; IMAGE OBJECT RECOGNITION; MULTIPLE KERNEL LEARNING; OUTPUT KERNEL; REPRODUCING KERNEL HILBERT SPACES; VECTOR-VALUED FUNCTION;

IMAGE PROCESSING; MATHEMATICAL MODELS;

OBJECT RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; PROCEDURES;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84879066606     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2013.2259836     Document Type: Article

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