114 search results - page 19 / 23 » Feature Subset Selection and Ranking for Data Dimensionality... |
119
click to vote
KDD
2008
ACM
16 years 1 days ago
2008
ACM
Privacy-preserving data mining (PPDM) is an emergent research area that addresses the incorporation of privacy preserving concerns to data mining techniques. In this paper we prop...
ICMLA
2007
15 years 1 months ago
2007
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
117
click to vote
AAAI
2008
15 years 1 months ago
2008
Recent study has shown that canonical algorithms such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) can be obtained from graph based dimensionality ...
CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
128
click to vote
JMLR
2012
13 years 2 months ago
2012
Traditional tensor decompositions such as the CANDECOMP / PARAFAC (CP) and Tucker decompositions yield higher-order principal components that have been used to understand tensor d...