403 search results - page 47 / 81 » Metric and Kernel Learning Using a Linear Transformation |
190
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VLSISP
2011
14 years 8 months ago
2011
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
118
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
Identifying suitable image features is a central challenge in computer vision, ranging from representations for lowlevel to high-level vision. Due to the difficulty of this task,...
129
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COLT
2005
Springer
15 years 7 months ago
2005
Springer
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
109
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INFOCOM
2011
IEEE
14 years 5 months ago
2011
IEEE
—Many indoor localization methods are based on the association of 802.11 wireless RF signals from wireless access points (WAPs) with location labels. An “organic” RF position...
155
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BMCBI
2007
15 years 2 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...