Beyond covariance: Feature representation with nonlinear kernel matrices

Proceedings of the IEEE International Conference on Computer Vision

Volumn 2015 International Conference on Computer Vision, ICCV 2015, Issue , 2015, Pages 4570-4578

  Wang, Lei ^a   Zhang, Jianjia ^a   Zhou, Luping ^a   Tang, Chang ^a,b   Li, Wanqing ^a  

^a UNIVERSITY OF WOLLONGONG   (Australia)

^b TIANJIN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GEOMETRY; GESTURE RECOGNITION; MATRIX ALGEBRA; MOTION ESTIMATION;

FEATURE REPRESENTATION; GENERIC REPRESENTATION; HUMAN-ACTION RECOGNITION; MATRIX BASED REPRESENTATION; RIEMANNIAN GEOMETRY; STATE-OF-THE-ART PERFORMANCE; SYMMETRIC POSITIVE DEFINITE; VISUAL RECOGNITION;

COVARIANCE MATRIX;

EID: 84973879713     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2015.519     Document Type: Conference Paper

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