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» Discrete optimization in computer vision
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134
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VTC
2006
IEEE
115views Communications» more  VTC 2006»
15 years 11 months ago
Suboptimal Maximum Likelihood Detection Using Gradient-based Algorithm for MIMO Channels
Abstract— This paper proposes a suboptimal maximum likelihood detection (MLD) algorithm for multiple-input multipleoutput (MIMO) communications. The proposed algorithm regards tr...
Thet Htun Khine, Kazuhiko Fukawa, Hiroshi Suzuki
156
Voted
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 10 months ago
Analysis of the (1+1) EA for a Noisy OneMax
Abstract. In practical applications evaluating a fitness function is frequently subject to noise, i. e., the “true fitness” is disturbed by some random variations. Evolutiona...
Stefan Droste
ICCS
2003
Springer
15 years 10 months ago
A Compiler Approach to Performance Prediction Using Empirical-Based Modeling
Abstract. Performance understanding and prediction are extremely important goals for guiding the application of program optimizations or in helping programmers focus their efforts...
Pedro C. Diniz
CCE
2011
14 years 8 months ago
Time representations and mathematical models for process scheduling problems
During the last 15 years, many mathematical models have been developed in order to solve process operation scheduling problems, using discrete or continuous time representations. ...
Sylvain Mouret, Ignacio E. Grossmann, Pierre Pesti...
140
Voted
COMPGEOM
2004
ACM
15 years 10 months ago
Geodesic ham-sandwich cuts
Let P be a simple polygon with m vertices, k of which are reflex, and which contains r red points and b blue points in its interior. Let n = m + r + b. A ham-sandwich geodesic is ...
Prosenjit Bose, Erik D. Demaine, Ferran Hurtado, J...