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» Feature selection in scientific applications
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SAC
2008
ACM
13 years 8 months ago
Towards automatic feature vector optimization for multimedia applications
We systematically evaluate a recently proposed method for unsupervised discrimination power analysis for feature selection and optimization in multimedia applications. A series of...
Tobias Schreck, Dieter W. Fellner, Daniel A. Keim
ICPR
2006
IEEE
14 years 9 months ago
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...
Pavel Pudil, Petr Somol
IWANN
2011
Springer
12 years 11 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
CIKM
2010
Springer
13 years 6 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
IISWC
2006
IEEE
14 years 2 months ago
Characterization of Scientific Workloads on Systems with Multi-Core Processors
Multi-core processors are planned for virtually all next-generation HPC systems. In a preliminary evaluation of AMD Opteron Dual-Core processor systems, we investigated the scaling...
Sadaf R. Alam, Richard F. Barrett, Jeffery A. Kueh...