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» Toward Optimal Feature Selection
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115
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EMO
2001
Springer
152views Optimization» more  EMO 2001»
15 years 8 months ago
Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms
This paper examines the road train concept as a new alternative in long-distance freight traffic. The design of such a system is a difficult task since many different and conflicti...
Nando Laumanns, Marco Laumanns, Dirk Neunzig
171
Voted
ML
1998
ACM
153views Machine Learning» more  ML 1998»
15 years 3 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
137
Voted
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 3 months ago
Fast Overlapping Group Lasso
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability...
Jun Liu, Jieping Ye
126
Voted
PCM
2004
Springer
107views Multimedia» more  PCM 2004»
15 years 9 months ago
Automatic Peak Number Detection in Image Symmetry Analysis
Abstract. In repeated pattern analysis, peak number detection in autocorrelation is of key importance, which subsequently determines the correctness of the constructed lattice. Pre...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...
136
Voted
CVPR
2007
IEEE
16 years 5 months ago
Sparse Kernels for Bayes Optimal Discriminant Analysis
Discriminant Analysis (DA) methods have demonstrated their utility in countless applications in computer vision and other areas of research ? especially in the C class classificat...
Aleix M. Martínez, Onur C. Hamsici