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139
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ICASSP
2008
IEEE
15 years 11 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 ...
139
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WWW
2002
ACM
15 years 4 months ago
2002
ACM
In this paper, we present two ways to improve the precision of HITS-based algorithms on Web documents. First, by analyzing the limitations of current HITS-based algorithms, we pro...
140
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ELPUB
2007
ACM
15 years 8 months ago
2007
ACM
The principal aim of Project StORe is to provide middleware that will enable bi-directional links between source repositories of research data and the output repositories containi...
142
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AAAI
2008
15 years 6 months ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...
144
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ACISICIS
2008
IEEE
15 years 6 months ago
2008
IEEE
Compressed sensing (CS), a joint compression and sensing process, is a emerging field of activity in which the signal is sampled and simultaneously compressed at a greatly reduced...