581 search results - page 103 / 117 » EM in High Dimensional Spaces |
93
Voted
LWA
2007
15 years 1 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
116
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IIS
2003
15 years 1 months ago
2003
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...
101
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MM
2010
ACM
15 years 19 days ago
2010
ACM
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
106
Voted
BMVC
2010
14 years 10 months ago
2010
This paper presents a framework for recognising realistic human actions captured from unconstrained environments. The novelties of this work lie in three aspects. First, we propos...
244
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ICDE
2012
IEEE
13 years 2 months ago
2012
IEEE
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...