1463 search results - page 110 / 293 » Feature selection based on the training set manipulation |
162
Voted
JMLR
2002
15 years 4 months ago
2002
We examine the learning-curve sampling method, an approach for applying machinelearning algorithms to large data sets. The approach is based on the observation that the computatio...
160
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LION
2010
Springer
15 years 8 months ago
2010
Springer
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
144
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PCM
2004
Springer
15 years 10 months ago
2004
Springer
In this paper, a novel face recognition method based on Gabor-wavelet and linear discriminant analysis (LDA) is proposed. Given training face images, discriminant vectors are compu...
125
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ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Attribute filters allow enhancement and extraction of features without distorting their borders, and never introduce new image features. These are highly desirable properties in bi...
157
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SEMCO
2007
IEEE
15 years 10 months ago
2007
IEEE
Automatic sentence segmentation of spoken language is an important precursor to downstream natural language processing. Previous studies combine lexical and prosodic features, but...