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ICCV
2005
IEEE
14 years 9 months ago
Globally Optimal Solutions for Energy Minimization in Stereo Vision Using Reweighted Belief Propagation
A wide range of low level vision problems have been formulated in terms of finding the most probable assignment of a Markov Random Field (or equivalently the lowest energy configu...
Talya Meltzer, Chen Yanover, Yair Weiss
CI
2004
116views more  CI 2004»
13 years 7 months ago
Solution Generation with Qualitative Models of Preferences
We consider automated decision aids that help users select the best solution from a large set of options. For such tools to successfully accomplish their task, eliciting and repre...
Boi Faltings, Marc Torrens, Pearl Pu
ICDM
2006
IEEE
214views Data Mining» more  ICDM 2006»
14 years 1 months ago
Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently however, we have been approached by Texas Commiss...
Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, X...
MDM
2010
Springer
152views Communications» more  MDM 2010»
14 years 5 days ago
Finding One-Of Probably Nearest Neighbors with Minimum Location Updates
—Location information is necessarily uncertain when objects are constantly moving. The cost can be high to maintain precise locations at the application server for all the object...
Mitzi McCarthy, Xiaoyang Sean Wang, Zhen He
EMO
2006
Springer
122views Optimization» more  EMO 2006»
13 years 11 months ago
Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems
Many-objective optimization refers to optimization problems with a number of objectives considerably larger than two or three. In this paper, a study on the performance of the Fast...
Mario Köppen, Kaori Yoshida