255 search results - page 22 / 51 » Distributed sparse linear regression |
152
Voted
PAMI
2012
13 years 4 months ago
2012
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
101
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WSC
1998
15 years 3 months ago
1998
Bootstrapping is a resampling technique that requires less computer time than simulation does. Bootstrapping -like simulation-must be defined for each type of application. This pa...
118
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ICDCSW
2006
IEEE
15 years 8 months ago
2006
IEEE
The extent to which a wireless multi-hop network is connected is usually measured by the probability that all the nodes form a single connected component. We find this measure, c...
120
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CORR
2007
Springer
15 years 2 months ago
2007
Springer
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
140
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CVPR
2009
IEEE
15 years 6 months ago
2009
IEEE
Face detection plays an important role in many vision applications. Since Viola and Jones [1] proposed the first real-time AdaBoost based object detection system, much effort has ...