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» Feature Selection Algorithms: A Survey and Experimental Eval...
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CIKM
2010
Springer
13 years 6 months ago
Novel local features with hybrid sampling technique for image retrieval
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...
Leszek Kaliciak, Dawei Song, Nirmalie Wiratunga, J...
ICPR
2008
IEEE
14 years 2 months ago
Feature selection for clustering with constraints using Jensen-Shannon divergence
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
Yuanhong Li, Ming Dong, Yunqian Ma
BMCBI
2006
114views more  BMCBI 2006»
13 years 8 months ago
Evaluation and comparison of mammalian subcellular localization prediction methods
Background: Determination of the subcellular location of a protein is essential to understanding its biochemical function. This information can provide insight into the function o...
Josefine Sprenger, J. Lynn Fink, Rohan D. Teasdale
SGAI
2009
Springer
14 years 12 days ago
Remainder Subset Awareness for Feature Subset Selection
Feature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. The fa...
Gabriel Prat-Masramon, Lluís A. Belanche Mu...
ICDAR
2009
IEEE
13 years 5 months 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