3006 search results - page 258 / 602 » Dimensionality reduction and generalization |
195
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ACII
2005
Springer
15 years 8 months ago
2005
Springer
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
169
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COLT
2008
Springer
15 years 8 months ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...
153
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ICMLA
2007
15 years 8 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
175
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NIPS
2004
15 years 8 months ago
2004
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
202
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ICASSP
2010
IEEE
15 years 6 months ago
2010
IEEE
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...