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» Parallelizing Feature Selection
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CIKM
2009
Springer
15 years 7 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
ICASSP
2011
IEEE
14 years 6 months ago
Objective evaluation of the Dynamic Model Selection method for spectral voice conversion
Spectral voice conversion is usually performed using a single model selected in order to represent a tradeoff between goodness of fit and complexity. Recently, we proposed a new ...
Pierre Lanchantin, Xavier Rodet
FGR
2008
IEEE
153views Biometrics» more  FGR 2008»
15 years 9 months ago
Facial image analysis using local feature adaptation prior to learning
Many facial image analysis methods rely on learningbased techniques such as Adaboost or SVMs to project classifiers based on the selection of local image filters (e.g., Haar and...
Rogerio Feris, Ying-li Tian, Yun Zhai, Arun Hampap...
OIR
2007
95views more  OIR 2007»
15 years 2 months ago
Help features in digital libraries: types, formats, presentation styles, and problems
Purpose – The purpose of this paper is to evaluate Help features in digital libraries and identify problems related to their design. Design/methodology/approach – This study s...
Hong (Iris) Xie
SAMT
2007
Springer
98views Multimedia» more  SAMT 2007»
15 years 9 months ago
Semantic Annotation of 3D Surface Meshes Based on Feature Characterization
In this paper we describe the main aspects of a system to perform non-trivial segmentations of 3D surface meshes and to annotate the detected parts through concepts expressed by an...
Marco Attene, Francesco Robbiano, Michela Spagnuol...