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» Redundancy based feature selection for microarray data
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IJCV
1998
238views more  IJCV 1998»
14 years 9 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
BMCBI
2004
131views more  BMCBI 2004»
14 years 9 months ago
Alternative mapping of probes to genes for Affymetrix chips
Background: Short oligonucleotide arrays have several probes measuring the expression level of each target transcript. Therefore the selection of probes is a key component for the...
Laurent Gautier, Morten Møller, Lennart Fri...
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
15 years 3 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim
SMA
2005
ACM
125views Solid Modeling» more  SMA 2005»
15 years 3 months ago
One-dimensional selections for feature-based data exchange
In the parametric feature based design paradigm, most features possess arguments that are subsets of the boundary of the current model, subsets defined interactively by user sele...
Ari Rappoport, Steven N. Spitz, Michal Etzion
CVPR
2009
IEEE
16 years 4 months ago
Unsupervised Maximum Margin Feature Selection with Manifold Regularization
Feature selection plays a fundamental role in many pattern recognition problems. However, most efforts have been focused on the supervised scenario, while unsupervised feature s...
Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui ...