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» Approximate convex decomposition
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ICML
2005
IEEE
15 years 10 months ago
Predictive low-rank decomposition for kernel methods
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...
Francis R. Bach, Michael I. Jordan
CGF
2008
128views more  CGF 2008»
14 years 9 months ago
Hierarchical Convex Approximation of 3D Shapes for Fast Region Selection
Given a 3D solid model S represented by a tetrahedral mesh, we describe a novel algorithm to compute a hierarchy of convex polyhedra that tightly enclose S. The hierarchy can be b...
Marco Attene, Michela Mortara, Michela Spagnuolo, ...
62
Voted
ANOR
2010
89views more  ANOR 2010»
14 years 9 months ago
Convex approximations for a class of mixed-integer recourse models
We consider mixed-integer recourse (MIR) models with a single recourse constraint. We relate the second-stage value function of such problems to the expected simple integer recour...
Maarten H. van der Vlerk
IPL
2008
105views more  IPL 2008»
14 years 9 months ago
Hausdorff approximation of 3D convex polytopes
Let P be a convex polytope in Rd , d = 3 or 2, with n vertices. We present linear time algorithms for approximating P by simpler polytopes. For instance, one such algorithm select...
Mario A. Lopez, Shlomo Reisner
STACS
1990
Springer
15 years 1 months ago
Approximation of Convex Figures by Pairs of Rectangles
We consider the problem of approximating a convex gure in the plane by a pair (r; R) of homothetic (that is, similar and parallel) rectangles with r C R. We show the existenc...
Otfried Schwarzkopf, Ulrich Fuchs, Günter Rot...