548 search results - page 11 / 110 » Iterated importance sampling in missing data problems |
102
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NIPS
1997
15 years 1 days ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
CVPR
2007
IEEE
16 years 22 days ago
2007
IEEE
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
ICCV
2003
IEEE
16 years 19 days ago
2003
IEEE
This paper presents a framework for finding point correspondences in monocular image sequences over multiple frames. The general problem of multi-frame point correspondence is NP ...
100
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BMCBI
2010
14 years 8 months ago
2010
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
ICMLA
2008
15 years 5 days ago
2008
In order to overcome the computation and storage problem for large-scale data set, an efficient iterative method of Generalized Discriminant Analysis is proposed. Because sample v...