255 search results - page 22 / 51 » Distributed sparse linear regression |
PAMI
2012
12 years 9 days 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...
WSC
1998
13 years 11 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...
ICDCSW
2006
IEEE
14 years 3 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...
CORR
2007
Springer
13 years 9 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...
CVPR
2009
IEEE
14 years 1 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 ...