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GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 13 days ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
ICTAI
1993
IEEE
13 years 10 months ago
Robust Feature Selection Algorithms
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...
Haleh Vafaie, Kenneth DeJong
ASPDAC
2007
ACM
116views Hardware» more  ASPDAC 2007»
13 years 10 months ago
MODLEX: A Multi Objective Data Layout EXploration Framework for Embedded Systems-on-Chip
The memory subsystem is a major contributor to the performance, power, and area of complex SoCs used in feature rich multimedia products. Hence, memory architecture of the embedded...
T. S. Rajesh Kumar, C. P. Ravikumar, R. Govindaraj...
CVPR
2007
IEEE
14 years 8 months ago
Multi-Object Tracking Using Color, Texture and Motion
In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color ...
Matti Pietikäinen, Valtteri Takala
HIS
2007
13 years 7 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin