5046 search results - page 114 / 1010 » Feature Selection from Huge Feature Sets |
293
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VIS
2004
IEEE
16 years 7 months ago
2004
IEEE
We present a novel surface reconstruction algorithm that can recover high-quality surfaces from noisy and defective data sets without any normal or orientation information. A set ...
185
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
332
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IIS
2004
15 years 7 months ago
2004
Learning algorithms, as NN or C4.5 require adequate sets of examples. In the paper we present the usability of genetic algorithms for selection significant features. Fitness of ind...
178
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IVC
2007
15 years 6 months ago
2007
In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video seque...
193
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ISMIR
2005
Springer
15 years 12 months ago
2005
Springer
We describe the MusicMiner system for organizing large collections of music with databionic mining techniques. Low level audio features are extracted from the raw audio data on sh...