77 search results - page 1 / 16 » On the Anonymization of Sparse High-Dimensional Data |
191
Voted
ICDE
2008
IEEE
16 years 12 days ago
2008
IEEE
Abstract-- Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as ka...
111
Voted
NIPS
2008
15 years 14 days ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
ICONIP
2007
15 years 14 days ago
2007
Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
104
click to vote
NIPS
1998
15 years 11 days ago
1998
The task in text retrieval is to find the subset of a collection of documents relevant to a user's information request, usually expressed as a set of words. Classically, docu...
CVPR
2010
IEEE
14 years 11 months ago
2010
IEEE