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ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
We propose a feature selection method that constructs each new feature by analysis of tight error clusters. This is a greedy, time-efficient forward selection algorithm that itera...
ICSE
2009
IEEE-ACM
14 years 9 months ago
2009
IEEE-ACM
Features express the variabilities and commonalities among programs in a software product line (SPL). A feature model defines the valid combinations of features, where each combin...
ICMCS
2006
IEEE
14 years 2 months ago
2006
IEEE
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
ICONIP
2004
13 years 10 months ago
2004
Most of the current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (...
ICML
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper, we present a robust feature extraction framework based on informationtheoretic learning. Its formulated objective aims at simultaneously maximizing the Renyi's...