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APPT
2005
Springer
14 years 2 months ago
Principal Component Analysis for Distributed Data Sets with Updating
Identifying the patterns of large data sets is a key requirement in data mining. A powerful technique for this purpose is the principal component analysis (PCA). PCA-based clusteri...
Zheng-Jian Bai, Raymond H. Chan, Franklin T. Luk
CHES
1999
Springer
133views Cryptology» more  CHES 1999»
14 years 25 days ago
Random Number Generators Founded on Signal and Information Theory
The strength of a cryptographic function depends on the amount of entropy in the cryptovariables that are used as keys. Using a large key length with a strong algorithm is false co...
David Paul Maher, Robert J. Rance
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 10 months ago
Minimum Sum-Squared Residue Co-Clustering of Gene Expression Data
Microarray experiments have been extensively used for simultaneously measuring DNA expression levels of thousands of genes in genome research. A key step in the analysis of gene e...
Hyuk Cho, Inderjit S. Dhillon, Yuqiang Guan, Suvri...
STOC
2007
ACM
112views Algorithms» more  STOC 2007»
14 years 8 months ago
Smooth sensitivity and sampling in private data analysis
We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
Kobbi Nissim, Sofya Raskhodnikova, Adam Smith
MICCAI
2002
Springer
14 years 9 months ago
Robust Registration of Multi-modal Images: Towards Real-Time Clinical Applications
Abstract. High performance computing has become a key step to introduce computer tools, like real-time registration, in the medical field. To achieve real-time processing, one usua...
Radu Stefanescu, Sébastien Ourselin, Xavier...