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» Experimental Comparison of Feature Subset Selection Methods
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123
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ICDAR
2009
IEEE
15 years 11 days ago
Selecting Features in On-Line Handwritten Whiteboard Note Recognition: SFS or SFFS?
When selecting features with the sequential forward floating selection (SFFS), the "nesting effect" is avoided, which is a common phenomenon if the computationally less ...
Joachim Schenk, Moritz Kaiser, Gerhard Rigoll
116
Voted
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders
124
Voted
ICCV
2009
IEEE
15 years 11 days ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
TIFS
2008
113views more  TIFS 2008»
15 years 2 months ago
A Selective Feature Information Approach for Iris Image-Quality Measure
Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
Craig Belcher, Yingzi Du
BMCBI
2007
164views more  BMCBI 2007»
15 years 2 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...