9886 search results - page 1271 / 1978 » Learning Compressible Models |
236
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KDD
2006
ACM
16 years 7 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
265
Voted
BMCBI
2007
15 years 7 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...
237
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
236
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TSP
2008
15 years 7 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...
241
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CAIP
2009
Springer
15 years 5 months ago
2009
Springer
This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textu...