9209 search results - page 230 / 1842 » Data Space Randomization |
282
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SIAMIS
2010
15 years 1 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
177
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ECML
2007
Springer
16 years 15 days ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
193
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IPPS
2006
IEEE
16 years 11 days ago
2006
IEEE
In this paper we study the performance improvements and trade-offs derived from an optimized mapping approach applied on a parametric coarse grained reconfigurable array architect...
173
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NN
2010
Springer
15 years 4 months ago
2010
Springer
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
194
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SIBGRAPI
2008
IEEE
16 years 22 days ago
2008
IEEE
This work proposes a simple approximation scheme for discrete data that leads to an infinitely smooth result without global optimization. It combines the flexibility of Binary Sp...