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» Minimizing Convex Functions with Bounded Perturbations
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ORL
2011
12 years 11 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
PAMI
2011
13 years 7 days ago
Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains
—We propose a convex formulation for silhouette and stereo fusion in 3D reconstruction from multiple images. The key idea is to show that the reconstruction problem can be cast a...
Daniel Cremers, Kalin Kolev
BIOINFORMATICS
2011
13 years 9 days ago
Inverse perturbation for optimal intervention in gene regulatory networks
Motivation: Analysis and intervention in the dynamics of gene regulatory networks is at the heart of emerging efforts in the development of modern treatment of numerous ailments i...
Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld
IPCO
2010
153views Optimization» more  IPCO 2010»
13 years 3 months ago
An Effective Branch-and-Bound Algorithm for Convex Quadratic Integer Programming
We present a branch-and-bound algorithm for minimizing a convex quadratic objective function over integer variables subject to convex constraints. In a given node of the enumerati...
Christoph Buchheim, Alberto Caprara, Andrea Lodi
SIAMCO
2000
110views more  SIAMCO 2000»
13 years 5 months ago
On the Minimizing Property of a Second Order Dissipative System in Hilbert Spaces
We study the asymptotic behavior at infinity of solutions of a second order evolution equation with linear damping and convex potential. The differential system is defined in a rea...
Felipe Alvarez