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» Feature selection in scientific applications
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ISCIS
2003
Springer
14 years 3 months ago
Comparison of Feature Sets Using Multimedia Translation
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Pinar Duygulu, Özge Can Özcanli, Norman ...
IVC
2007
95views more  IVC 2007»
13 years 9 months ago
Models from image triplets using epipolar gradient features
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on th...
Étienne Vincent, Robert Laganière
BMCBI
2006
142views more  BMCBI 2006»
13 years 10 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
PKDD
2007
Springer
121views Data Mining» more  PKDD 2007»
14 years 4 months ago
Improved Algorithms for Univariate Discretization of Continuous Features
In discretization of a continuous variable its numerical value range is divided into a few intervals that are used in classification. For example, Na¨ıve Bayes can benefit from...
Jussi Kujala, Tapio Elomaa
GLOBECOM
2010
IEEE
13 years 7 months ago
Methods of Selecting Threshold for the QoE-Based Video Output Scheme SCS
SCS is a video output scheme which is designed to maximize QoE in audio-video IP transmission; it is featured by the applicability to end
Shuji Tasaka, Akifumi Hirashima