785 search results - page 74 / 157 » Semi-Supervised Dimensionality Reduction |
134
Voted
SIAMJO
2010
14 years 10 months ago
2010
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
177
Voted
TSMC
2010
14 years 10 months ago
2010
We study the problem of projecting high-dimensional tensor data on an unspecified Riemannian manifold onto some lower dimensional subspace1 without much distorting the pairwise geo...
144
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ICML
1997
IEEE
15 years 8 months ago
1997
IEEE
This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods we...
134
Voted
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
We present a dynamic inference algorithm in a globally parameterized nonlinear manifold and demonstrate it on the problem of visual tracking. An appearance manifold is usually non...
143
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...