10285 search results - page 296 / 2057 » Composing Feature Models |
175
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AI
2004
Springer
15 years 6 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
197
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CVPR
2008
IEEE
16 years 8 months ago
2008
IEEE
This paper proposes a general framework called Markov stationary features (MSF) to extend histogram based features. The MSF characterizes the spatial co-occurrence of histogram pa...
195
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ICIP
2006
IEEE
16 years 8 months ago
2006
IEEE
1 We propose a novel video-based rendering algorithm with a single moving camera. We reconstruct a dynamic 3D model of the scene with a feature point set that "evolves" o...
167
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
163
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ICUIMC
2009
ACM
16 years 1 months ago
2009
ACM
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...