129 search results - page 17 / 26 » Margin Maximizing Discriminant Analysis |
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
ICAISC
2010
Springer
14 years 11 months ago
2010
Springer
Hotelling’s Canonical Correlation Analysis (CCA) works with two sets of related variables, also called views, and its goal is to find their linear projections with maximal mutual...
ICCV
2007
IEEE
15 years 11 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
We introduce a new approach to analyzing click logs by examining both the documents that are clicked and those that are bypassed--documents returned higher in the ordering of the ...
SODA
2010
ACM
15 years 7 months ago
2010
ACM
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...