3006 search results - page 231 / 602 » Dimensionality reduction and generalization |
164
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ICDM
2006
IEEE
16 years 21 days ago
2006
IEEE
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
190
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INFOCOM
2006
IEEE
16 years 21 days ago
2006
IEEE
— Internet paths sharing the same bottleneck can be identified using several shared congestion detection techniques. However, all of these techniques have been designed to detec...
166
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AAAI
2006
15 years 8 months ago
2006
Over the past few years, some embedding methods have been proposed for feature extraction and dimensionality reduction in various machine learning and pattern classification tasks...
196
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GRC
2010
IEEE
15 years 7 months ago
2010
IEEE
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
187
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IVC
2007
15 years 6 months ago
2007
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...