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AAAI
1992
13 years 9 months ago
On the Minimality and Decomposability of Constraint Networks
Constraint networks have been shown to be useful in formulating such diverse problems as scene labeling, natural language parsing, and temporal reasoning. Given a constraint netwo...
Peter van Beek
SCALESPACE
2009
Springer
14 years 2 months ago
An Unconstrained Multiphase Thresholding Approach for Image Segmentation
Abstract. In this paper we provide a method to find global minimizers of certain non-convex 2-phase image segmentation problems. This is achieved by formulating a convex minimizat...
Benjamin Berkels
CORR
2011
Springer
133views Education» more  CORR 2011»
12 years 11 months ago
Minimizing the sum of many rational functions
We consider the problem of globally minimizing the sum of many rational functions over a given compact semialgebraic set. The number of terms can be large (10 to 100), the degree ...
Florian Bugarin, Didier Henrion, Jean B. Lasserre
MMSP
2008
IEEE
245views Multimedia» more  MMSP 2008»
14 years 2 months ago
A convex programming approach for color stereo matching
—This paper addresses the problem of dense disparity estimation from a pair of color stereo images. Based on a convex set theoretic formulation, the stereo matching problem is ca...
Wided Miled, Béatrice Pesquet-Popescu, Jean...
CVPR
2005
IEEE
14 years 10 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade