1011 search results - page 30 / 203 » Feature Selection for Support Vector Machines |
115
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ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper presents a sound source (talker) localization method using only a single microphone. In our previous work [1], we discussed the single-channel sound source localization...
114
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ML
2008
ACM
14 years 9 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
CORR
2008
Springer
14 years 10 months ago
2008
Springer
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
JMLR
2008
14 years 9 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
MM
2003
ACM
15 years 3 months ago
2003
ACM
In this paper, we propose a novel approach for the robust detection and classification of dissolve sequences in videos. Our approach is based on the multi-resolution representati...