A robust method for vector field learning with application to mismatch removing

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

Volumn , Issue , 2011, Pages 2977-2984

  Zhao, Ji ^a   Ma, Jiayi ^a   Tian, Jinwen ^a   Ma, Jie ^a   Zhang, Dazhi ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MAXIMUM PRINCIPLE; PATTERN RECOGNITION; POSITRON EMISSION TOMOGRAPHY; STATISTICS; VECTOR SPACES; VECTORS;

BAYESIAN FRAMEWORKS; COMPUTATIONALLY EFFICIENT; EXPECTATION-MAXIMIZATION ALGORITHMS; LATENT VARIABLE; MAXIMUM A POSTERIORI; ROBUST METHODS; STATE-OF-THE-ART METHODS; VECTOR-VALUED REPRODUCING KERNEL HILBERT SPACES;

PROBLEM SOLVING;

EID: 80052872035     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2011.5995336     Document Type: Conference Paper

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