Sciweavers

895 search results - page 5 / 179
» Approximate convex decomposition
Sort
View
ORL
2011
14 years 6 months ago
Convex approximations to sparse PCA via Lagrangian duality
We derive a convex relaxation for cardinality constrained Principal Component Analysis (PCA) by using a simple representation of the L1 unit ball and standard Lagrangian duality. ...
Ronny Luss, Marc Teboulle
ICPR
2008
IEEE
16 years 27 days ago
Robust decomposition of a digital curve into convex and concave parts
We propose a linear in time and easy-to-implement algorithm that robustly decomposes a digital curve into convex and concave parts. This algorithm is based on classical tools in d...
Tristan Roussillon, Isabelle Sivignon, Laure Tougn...
FOCM
2010
97views more  FOCM 2010»
14 years 10 months ago
Self-Concordant Barriers for Convex Approximations of Structured Convex Sets
We show how to approximate the feasible region of structured convex optimization problems by a family of convex sets with explicitly given and efficient (if the accuracy of the ap...
Levent Tunçel, Arkadi Nemirovski
MP
2006
60views more  MP 2006»
14 years 11 months ago
Simple integer recourse models: convexity and convex approximations
Willem K. Klein Haneveld, Leen Stougie, Maarten H....
CORR
2010
Springer
143views Education» more  CORR 2010»
14 years 9 months ago
CUR from a Sparse Optimization Viewpoint
The CUR decomposition provides an approximation of a matrix X that has low reconstruction error and that is sparse in the sense that the resulting approximation lies in the span o...
Jacob Bien, Ya Xu, Michael W. Mahoney