317 search results - page 30 / 64 » From Transformation-Based Dimensionality Reduction to Featur... |
120
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CIRA
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract—In classical image classification approaches, lowlevel features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selec...
115
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PR
2011
14 years 2 months ago
2011
Increasingly large amount of multidimensional data are being generated on a daily basis in many applications. This leads to a strong demand for learning algorithms to extract usef...
CIVR
2009
Springer
15 years 6 months ago
2009
Springer
Multimedia browsing and retrieval systems can use dimensionality reduction methods to map from high-dimensional content-based feature distributions to low-dimensional layout space...
105
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ICMCS
2006
IEEE
15 years 5 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
ICCV
2003
IEEE
15 years 5 months ago
2003
IEEE
Detecting the dominant normal directions to the decision surface is an established technique for feature selection in high dimensional classification problems. Several approaches...