8795 search results - page 126 / 1759 » Measuring Generality of Documents |
142
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) is one of the wellknown methods for supervised dimensionality reduction. Over the years, many LDA-based algorithms have been developed to cope w...
258
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ICDE
2008
IEEE
16 years 5 months ago
2008
IEEE
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
145
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CIKM
2009
Springer
15 years 10 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
155
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TNN
2008
15 years 3 months ago
2008
Abstract--High-dimensional data are common in many domains, and dimensionality reduction is the key to cope with the curse-of-dimensionality. Linear discriminant analysis (LDA) is ...
137
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PR
2000
15 years 3 months ago
2000
An expert system for analysis and recognition of general symbols is introduced. The system uses the structural pattern recognition technique for modeling symbols by a set of strai...