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» Feature Selection in Clustering Problems
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NIPS
2007
13 years 11 months ago
Discriminative Keyword Selection Using Support Vector Machines
Many tasks in speech processing involve classification of long term characteristics of a speech segment such as language, speaker, dialect, or topic. A natural technique for dete...
William M. Campbell, Fred S. Richardson
MODELS
2009
Springer
14 years 4 months ago
Dead or Alive: finding zombie features in the Linux kernel
Variability management in operating systems is an errorprone and tedious task. This is especially true for the Linux operating system, which provides a specialized tool called Kco...
Reinhard Tartler, Julio Sincero, Wolfgang Schr&oum...
CSB
2004
IEEE
149views Bioinformatics» more  CSB 2004»
14 years 1 months ago
Weighting Features to Recognize 3D Patterns of Electron Density in X-Ray Protein Crystallography
Feature selection and weighting are central problems in pattern recognition and instance-based learning. In this work, we discuss the challenges of constructing and weighting feat...
Kreshna Gopal, Tod D. Romo, James C. Sacchettini, ...
PR
2006
88views more  PR 2006»
13 years 10 months ago
Directional features in online handwriting recognition
The selection of valuable features is crucial in pattern recognition. In this paper we deal with the issue that part of features originate from directional instead of common linea...
Claus Bahlmann
ICPR
2010
IEEE
14 years 1 months ago
Detecting Faint Compact Sources Using Local Features and a Boosting Approach
Several techniques have been proposed so far in order to perform faint compact source detection in wide field interferometric radio images. However, all these methods can easily mi...
Albert Torrent, Marta Peracaula, Xavier Llado, Jor...