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CORR
2008
Springer
129views Education» more  CORR 2008»
15 years 1 months ago
Polynomial Linear Programming with Gaussian Belief Propagation
Abstract--Interior-point methods are state-of-the-art algorithms for solving linear programming (LP) problems with polynomial complexity. Specifically, the Karmarkar algorithm typi...
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
120
Voted
ANOR
2004
116views more  ANOR 2004»
15 years 1 months ago
Approximations and Randomization to Boost CSP Techniques
Abstract. In recent years we have seen an increasing interest in combining constraint satisfaction problem (CSP) formulations and linear programming (LP) based techniques for solvi...
Carla P. Gomes, David B. Shmoys
NIPS
2000
15 years 3 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
125
Voted
ICCS
2003
Springer
15 years 7 months ago
Monte Carlo Method for Calculating the Electrostatic Energy of a Molecule
The problem of computing the electrostatic energy of a large molecule is considered. It is reduced to solving the Poisson equation inside and the linear Poisson-Boltzmann equation ...
Michael Mascagni, Nikolai A. Simonov
113
Voted
KES
2005
Springer
15 years 7 months ago
Relative Magnitude of Gaussian Curvature from Shading Images Using Neural Network
Abstract. A new approach is proposed to recover the relative magnitude of Gaussian curvature from three shading images using neural network. Under the assumption that the test obje...
Yuji Iwahori, Shinji Fukui, Chie Fujitani, Yoshino...