4366 search results - page 264 / 874 » Learning and Smoothed Analysis |
159
Voted
SDM
2007
SIAM
15 years 6 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
134
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ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
152
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ICDM
2009
IEEE
15 years 11 months ago
2009
IEEE
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
141
Voted
ATAL
2010
Springer
15 years 5 months ago
2010
Springer
Experimental analysis of networks of cooperative learning agents (to verify certain properties such as the system's stability) has been commonly used due to the complexity of...
146
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CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
In this paper, we present a novel approach to solving the supervised dimensionality reduction problem by encoding an image object as a general tensor of 2nd or higher order. First...