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» Understanding the Requirements on Modelling Techniques
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NIPS
1997
15 years 8 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
JCP
2007
108views more  JCP 2007»
15 years 7 months ago
A Genetic Algorithm Method to Assimilate Sensor Data for a Toxic Contaminant Release
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
Sue Ellen Haupt, George S. Young, Christopher T. A...
KDD
2008
ACM
134views Data Mining» more  KDD 2008»
16 years 7 months ago
Privacy-preserving cox regression for survival analysis
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...
Shipeng Yu, Glenn Fung, Rómer Rosales, Srir...
ACISP
2009
Springer
16 years 1 months ago
Towards Denial-of-Service-Resilient Key Agreement Protocols
Denial of service resilience is an important practical consideration for key agreement protocols in any hostile environment such as the Internet. There are well-known models that ...
Douglas Stebila, Berkant Ustaoglu
PRICAI
2004
Springer
16 years 13 days ago
Shape Matching for Robot Mapping
We present a novel geometric model for robot mapping based on shape. Shape similarity measure and matching techniques originating from computer vision are specially redesigned for ...
Diedrich Wolter, Longin Jan Latecki