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» Properties of Synthetic Optimization Problems
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BMCBI
2006
113views more  BMCBI 2006»
15 years 4 months ago
GibbsST: a Gibbs sampling method for motif discovery with enhanced resistance to local optima
Background: Computational discovery of transcription factor binding sites (TFBS) is a challenging but important problem of bioinformatics. In this study, improvement of a Gibbs sa...
Kazuhito Shida
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
15 years 10 months ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
CVPR
2010
IEEE
16 years 12 days ago
Pareto Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular tool for multiclass discriminative dimensionality reduction. However, LDA suffers from two major problems: (1) It only optimizes th...
Karim Abou-Moustafa, Fernando De la Torre, Frank F...
JSSPP
2005
Springer
15 years 10 months ago
An Extended Evaluation of Two-Phase Scheduling Methods for Animation Rendering
Recently HP Labs engaged in a joint project with DreamWorks Animation to develop a Utility Rendering Service that was used to render part of the computer-animated feature film Shr...
Yunhong Zhou, Terence Kelly, Janet L. Wiener, Eric...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 11 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson