443 search results - page 9 / 89 » Transductive optimal component analysis |
138
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JMLR
2010
14 years 10 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
102
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SLS
2007
Springer
15 years 9 months ago
2007
Springer
We consider a possible scenario of experimental analysis on heuristics for optimization: identifying the contribution of local search components when algorithms are evaluated on th...
160
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ICDM
2006
IEEE
15 years 9 months ago
2006
IEEE
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
126
Voted
ICA
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
125
Voted
ISQED
2000
IEEE
15 years 7 months ago
2000
IEEE
A new algorithm to determine the number and value of realistic worst-case models for the performance of module library components is presented in this paper. The proposed algorith...