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CPAIOR
2010
Springer
15 years 1 months ago
An In-Out Approach to Disjunctive Optimization
Cutting plane methods are widely used for solving convex optimization problems and are of fundamental importance, e.g., to provide tight bounds for Mixed-Integer Programs (MIPs). T...
Matteo Fischetti, Domenico Salvagnin
ATMOS
2007
152views Optimization» more  ATMOS 2007»
14 years 11 months ago
Solution of the Train Platforming Problem
In this paper we study a general formulation of the train platforming problem, which contains as special cases all the versions previously considered in the literature as well as a...
Alberto Caprara, Laura Galli, Paolo Toth
AAAI
2010
14 years 11 months ago
Smooth Optimization for Effective Multiple Kernel Learning
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu...
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
14 years 11 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
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AAAI
2006
14 years 11 months ago
Tractable Classes of Metric Temporal Problems with Domain Rules
In this paper, we will deal with some important kinds of metric temporal reasoning problems that arise in many real-life situations. In particular, events X0, X1 . . . XN are mode...
T. K. Satish Kumar