GPCA with denoising: A moments-based convex approach

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

Volumn , Issue , 2010, Pages 3209-3216

  Ozay, Necmiye ^a   Sznaier, Mario ^a   Lagoa, Constantino ^b   Camps, Octavia ^a  

^a NORTHEASTERN UNIVERSITY   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONVEX APPROACH; CONVEX CONSTRAINTS; CONVEX RELAXATION; DE-NOISING; FINITE SUPPORTS; LINEAR SUBSPACE; MATRIX; MOMENTS PROBLEM; MOTION SEGMENTATION; NOISE SENSITIVITY; OPTIMIZATION PROBLEMS; OPTIMIZATION VARIABLES; PERSPECTIVE VIEWS; QUADRATIC SURFACES; SAMPLE DATA;

COMPUTER VISION; DISTRIBUTION FUNCTIONS; LINEAR MATRIX INEQUALITIES; OPTIMIZATION; RELAXATION PROCESSES;

CONVEX OPTIMIZATION;

EID: 77956001676     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540075     Document Type: Conference Paper

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