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» On the Complexity of the Maximum Cut Problem
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ESANN
2006
13 years 9 months ago
Synthesis of maximum margin and multiview learning using unlabeled data
In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
Sándor Szedmák, John Shawe-Taylor
IMSCCS
2007
IEEE
14 years 1 months ago
TOPSAW Sawing Optimization Analysis Using Grid Computing
TOPSAW program was developed by Dr. S. Chang and his team and has been successfully used in the replication of sawmill cutting to determine the optimal cutting pattern for a log t...
Ashwin Bommathanahalli, Maoyuan Xie, Zhifeng Yun, ...
EMMCVPR
2007
Springer
13 years 11 months ago
Efficient Shape Matching Via Graph Cuts
Abstract. Meaningful notions of distance between planar shapes typically involve the computation of a correspondence between points on one shape and points on the other. To determi...
Frank R. Schmidt, Eno Töppe, Daniel Cremers, ...
CVPR
2009
IEEE
15 years 2 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...
SODA
2003
ACM
125views Algorithms» more  SODA 2003»
13 years 9 months ago
Random MAX SAT, random MAX CUT, and their phase transitions
With random inputs, certain decision problems undergo a “phase transition”. We prove similar behavior in an optimization context. Given a conjunctive normal form (CNF) formula...
Don Coppersmith, David Gamarnik, Mohammad Taghi Ha...