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» On the symmetry function of a convex set
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MVA
2000
136views Computer Vision» more  MVA 2000»
15 years 12 days ago
Qualitative Decomposition of Range Images into Convex Parts / Objects
Previous works on range image segmentation concentrate on surface patches that can be well represented by certain mathematical functions. In this paper we consider the more qualit...
Xiaoyi Jiang
UAI
2008
15 years 14 days ago
Convergent Message-Passing Algorithms for Inference over General Graphs with Convex Free Energies
Inference problems in graphical models can be represented as a constrained optimization of a free energy function. It is known that when the Bethe free energy is used, the fixedpo...
Tamir Hazan, Amnon Shashua
PG
2003
IEEE
15 years 4 months ago
Bounding Recursive Procedural Models Using Convex Optimization
We present an algorithm to construct a tight bounding polyhedron for a recursive procedural model. We first use an iterated function system (IFS) to represent the extent of the p...
Orion Sky Lawlor, John C. Hart
EOR
2002
87views more  EOR 2002»
14 years 11 months ago
On the finite convergence of successive SDP relaxation methods
Let F be a subset of the n-dimensional Euclidean space Rn represented in terms of a compact convex subset C0 and a set PF of nitely or in nitely many quadratic functions on Rn such...
Masakazu Kojima, Levent Tunçel
ALT
2004
Springer
15 years 8 months ago
Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
Nikolas List