3006 search results - page 101 / 602 » Dimensionality reduction and generalization |
116
Voted
ICML
2006
IEEE
16 years 1 months ago
2006
IEEE
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
106
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IJCAI
2007
15 years 2 months ago
2007
Kernel based nonlinear Feature Extraction (KFE) or dimensionality reduction is a widely used pre-processing step in pattern classification and data mining tasks. Given a positive...
NPL
1998
15 years 9 days ago
1998
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
113
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ICPR
2010
IEEE
14 years 10 months ago
2010
IEEE
Verification decisions are often based on second order statistics estimated from a set of samples. Ongoing growth of computational resources allows for considering more and more fe...
104
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PARA
2004
Springer
15 years 6 months ago
2004
Springer
A general framework for structure-preserving model reduction by Krylov subspace projection methods is developed. The goal is to preserve any substructures of importance in the matr...