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» Consistency measures for feature selection
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SAC
2008
ACM
13 years 7 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
ICIAR
2005
Springer
14 years 1 months ago
Shape Similarity Measurement for Boundary Based Features
In this study, we propose two algorithms for measuring the distance between shape boundaries. In the algorithms, shape boundary is represented by the Beam Angle Statistics (BAS), w...
Nafiz Arica, Fatos T. Yarman-Vural
ICMCS
2006
IEEE
180views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Automatic Speaker Segmentation using Multiple Features and Distance Measures: A Comparison of Three Approaches
This paper addresses the problem of unsupervised speaker change detection. Three systems based on the Bayesian Information Criterion (BIC) are tested. The first system investigat...
Margarita Kotti, Luis P. M. Martins, Emmanouil Ben...
KAIS
2007
97views more  KAIS 2007»
13 years 7 months ago
Stability of feature selection algorithms: a study on high-dimensional spaces
With the proliferation of extremely high-dimensional data, feature selection algorithms have become indispensable components of the learning process. Strangely, despite extensive ...
Alexandros Kalousis, Julien Prados, Melanie Hilari...
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 2 months ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...