1859 search results - page 276 / 372 » Using Problems to Learn Service-Oriented Computing |
191
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WACV
2012
IEEE
14 years 11 days ago
2012
IEEE
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
142
Voted
ECML
2005
Springer
15 years 10 months ago
2005
Springer
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
175
Voted
COLT
1993
Springer
15 years 9 months ago
1993
Springer
The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis of learning problems in the PAC framework. For polynomial learnability, we seek upper bou...
162
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CORR
2011
Springer
14 years 8 months ago
2011
Springer
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
134
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PERCOM
2005
ACM
16 years 4 months ago
2005
ACM
Many applications in eLearning utilize wireless networks (WLAN) as a carrier for data and communication. These networks in their basic form are insecure, protecting the communicat...