396 search results - page 23 / 80 » Modeling High-Dimensional Data by Combining Simple Experts |
HICSS
2009
IEEE
15 years 4 months ago
2009
IEEE
The requirement for power system operators to respond more efficiently to the stressed power system conditions that may create large number of alarms asks fort advanced alarm proc...
TSP
2008
14 years 9 months ago
2008
The rapid developing area of compressed sensing suggests that a sparse vector lying in a high dimensional space can be accurately and efficiently recovered from only a small set of...
126
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MICCAI
2000
Springer
15 years 1 months ago
2000
Springer
We present a novel approach to statistical shape analysis of anatomical structures based on small sample size learning techniques. The high complexity of shape models used in medic...
CIKM
2010
Springer
14 years 7 months ago
2010
Springer
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
106
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CIKM
2010
Springer
14 years 8 months ago
2010
Springer
In image retrieval, most existing approaches that incorporate local features produce high dimensional vectors, which lead to a high computational and data storage cost. Moreover, ...