1313 search results - page 100 / 263 » Dimensionality Reduction for Classification |
146
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MLDM
2007
Springer
15 years 9 months ago
2007
Springer
The color reduction in digital images is an active research area in digital image processing. In many applications such as image segmentation, analysis, compression and transmissio...
133
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
143
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ICFHR
2010
14 years 10 months ago
2010
To reduce the classification errors of online handwritten Japanese character recognition, we propose a method for confusing characters discrimination with little additional costs....
136
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CBMS
2007
IEEE
15 years 9 months ago
2007
IEEE
In this paper, we propose a new classification method that addresses classification in multiple categories of textual documents. We call it Matrix Regression (MR) due to its resem...
133
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KDD
2001
ACM
16 years 3 months ago
2001
ACM
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...