414 search results - page 69 / 83 » Feature Selection for Classifying High-Dimensional Numerical... |
221
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ICDE
2009
IEEE
16 years 1 months ago
2009
IEEE
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We introduce a new framework, namely Tensor Canonical Correlation Analysis (TCCA) which is an extension of classical Canonical Correlation Analysis (CCA) to multidimensional data ...
105
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CVPR
2010
IEEE
15 years 4 months ago
2010
IEEE
Kernel methods provide an efficient mechanism to derive nonlinear algorithms. In classification problems as well as in feature extraction, kernel-based approaches map the original...
SIGGRAPH
1999
ACM
15 years 4 months ago
1999
ACM
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated data intended to portray a smooth surface. The main task is to remove undesirable ...
KDD
1998
ACM
15 years 3 months ago
1998
ACM
We present the notion of Ranking for evaluation of two-class classifiers. Ranking is based on using the ordering information contained in the output of a scoring model, rather tha...