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ICASSP
2008
IEEE
15 years 6 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 ...
WWW
2002
ACM
14 years 11 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...
ELPUB
2007
ACM
15 years 3 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...
103
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AAAI
2008
15 years 2 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...
104
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ACISICIS
2008
IEEE
15 years 1 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...