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CIBCB
2005
IEEE
14 years 2 months ago
Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
E. Ke Tang, Ponnuthurai N. Suganthan, Xin Yao
ANOR
2011
158views more  ANOR 2011»
13 years 4 months ago
Hybrid scatter tabu search for unconstrained global optimization
Abstract The problem of finding a global optimum of an unconstrained multimodal function has been the subject of intensive study in recent years, giving rise to valuable advances ...
Abraham Duarte, Rafael Martí, Fred Glover, ...
ICCV
2007
IEEE
14 years 11 months ago
Optimization Algorithms for Labeling Brain Sulci Based on Graph Matching
Graph matching techniques are widely used in pattern recognition problems such as scene description, finger print identification, or face recognition. In this paper, we put forwar...
Faguo Yang, Frithjof Kruggel
MVA
1992
13 years 10 months ago
A Hierarchical Determination of Optimal Camera and Light-Source Positions for Model-Based Recognition
component of the reflection has been considered (2, This paper propose a hierarchical design method of camera and light-source positioning for model based vision. In this method, f...
Shinichiro Gomi, Koichiro Deguchi
ICPR
2006
IEEE
14 years 10 months ago
Image Renaissance Using Discrete Optimization
In this paper we propose a novel technique to image completion that addresses image renaissance through a graph-based matching process. To this end, a number of candidate seeds wi...
Cédric Allène, Nikos Paragios