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129
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APPT
2005
Springer
15 years 9 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
139
Voted
CHES
1999
Springer
133views Cryptology» more  CHES 1999»
15 years 7 months 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
177
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SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
15 years 4 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»
16 years 3 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
141
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MICCAI
2002
Springer
16 years 4 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...