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» A Monotonic Measure for Optimal Feature Selection
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ICDE
2008
IEEE
158views Database» more  ICDE 2008»
14 years 10 months ago
CARE: Finding Local Linear Correlations in High Dimensional Data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
Xiang Zhang, Feng Pan, Wei Wang
ICPR
2004
IEEE
14 years 9 months ago
Efficient Calculation of the Complete Optimal Classification Set
Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
Martin Brown, Nicholas Costen, Shigeru Akamatsu
EAAI
2007
90views more  EAAI 2007»
13 years 8 months ago
AI techniques in modelling, assignment, problem solving and optimization
This paper recapitulates the results of a long research on a family of artificial intelligence (AI) methods—relying on, e.g., artificial neural networks and search techniques...
Zsolt János Viharos, Zsolt Kemény
ICIP
2002
IEEE
14 years 10 months ago
Efficient selection of image patches with high motion confidence
Motion confidence measures aim to identify how well an image patch determines image motion. These kinds of confidence measures are commonly used to select points for optical flow ...
Peter Sand, Leonard McMillan
GECCO
2003
Springer
191views Optimization» more  GECCO 2003»
14 years 1 months ago
Artificial Immune System for Classification of Gene Expression Data
DNA microarray experiments generate thousands of gene expression measurement simultaneously. Analyzing the difference of gene expression in cell and tissue samples is useful in dia...
Shin Ando, Hitoshi Iba