1224 search results - page 24 / 245 » On the Optimality of the Dimensionality Reduction Method |
162
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SPEECH
1998
15 years 5 months ago
1998
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
165
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SODA
2010
ACM
16 years 3 months ago
2010
ACM
We consider the problem of approximating a set P of n points in Rd by a j-dimensional subspace under the p measure, in which we wish to minimize the sum of p distances from each p...
187
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SADM
2010
15 years 25 days ago
2010
This paper is concerned with classifying high dimensional data into one of two categories. In various settings, such as when dealing with fMRI and microarray data, the number of v...
197
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PAMI
2011
15 years 1 months ago
2011
—In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. The resulting ...
172
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PKDD
2010
Springer
15 years 4 months ago
2010
Springer
The foremost nonlinear dimensionality reduction algorithms provide an embedding only for the given training data, with no straightforward extension for test points. This shortcomin...