1176 search results - page 116 / 236 » Sparse reward processes |
137
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ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
128
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WCNC
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract—Position-based routing protocols use location information to refine the traditional packet flooding method in mobile ad hoc networks. They mainly focus on densely and ...
130
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NLPRS
2001
Springer
15 years 8 months ago
2001
Springer
This paper presents an empirical study for improving the performance of text chunking. We focus on two issues: the problem of selecting feature spaces, and the problem of alleviat...
124
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ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
A new dictionary selection approach for sparse coding, called parametric dictionary design, has recently been introduced. The aim is to choose a dictionary from a class of admissi...
151
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JMLR
2008
15 years 4 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...