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ICIP
2000
IEEE
15 years 11 months ago
Shape Approximation Through Recursive Scalable Layer Generation
This paper presents an e cient recursive algorithm for generating operationally optimal intra mode scalable layer decompositions of object contours. The problem is posed in terms ...
Gerry Melnikov, Aggelos K. Katsaggelos
ICCV
2009
IEEE
16 years 2 months ago
Convex Optimization for Multi-Class Image Labeling with a Novel Family of Total Variation Based Regularizers
We introduce a linearly weighted variant of the total variation for vector fields in order to formulate regularizers for multi-class labeling problems with non-trivial interclass...
J. Lellmann, F. Becker, C. Schn¨orr
NIPS
2008
14 years 11 months ago
Supervised Exponential Family Principal Component Analysis via Convex Optimization
Recently, supervised dimensionality reduction has been gaining attention, owing to the realization that data labels are often available and indicate important underlying structure...
Yuhong Guo
SIAMNUM
2010
96views more  SIAMNUM 2010»
14 years 4 months ago
On the Strong Convergence of Gradients in Stabilized Degenerate Convex Minimization Problems
Infimizing sequences in nonconvex variational problems typically exhibit enforced finer and finer oscillations called microstructures such that the infimal energy is not attained. ...
Wolfgang Boiger, Carsten Carstensen
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 17 days ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon