1224 search results - page 20 / 245 » On the Optimality of the Dimensionality Reduction Method |
168
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NN
2010
Springer
15 years 4 months ago
2010
Springer
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
148
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WACV
2002
IEEE
15 years 11 months ago
2002
IEEE
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
171
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ESANN
2008
15 years 7 months ago
2008
Abstract. Nonlinear dimensionality reduction aims at providing lowdimensional representions of high-dimensional data sets. Many new methods have been proposed in the recent years, ...
179
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SMA
2003
ACM
15 years 11 months ago
2003
ACM
Dimensional reduction is a simplification technique that eliminates one or more dimensions from a boundary value problem. It results in significant computational savings with mini...
213
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EDBT
2006
ACM
15 years 9 months ago
2006
ACM
Utilizing spatial index structures on secondary memory for nearest neighbor search in high-dimensional data spaces has been the subject of much research. With the potential to host...