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NC
2006
132views Neural Networks» more  NC 2006»
14 years 11 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
ARTMED
2002
92views more  ARTMED 2002»
14 years 11 months ago
Predicting glaucomatous visual field deterioration through short multivariate time series modelling
In bio-medical domains there are many applications involving the modelling of multivariate time series (MTS) data. One area that has been largely overlooked so far is the particul...
Stephen Swift, Xiaohui Liu
TSP
2008
116views more  TSP 2008»
14 years 11 months ago
Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification
This correspondence presents new approaches for optimizing kurtosis-based separation criteria in the case of long mixture recordings. Our methods are based on a multivariate polyno...
Johan Thomas, Yannick Deville, Shahram Hosseini
EUROCRYPT
1999
Springer
15 years 4 months ago
Proving in Zero-Knowledge that a Number Is the Product of Two Safe Primes
Abstract. We present the first efficient statistical zero-knowledge protocols to prove statements such as: – A committed number is a prime. – A committed (or revealed) number ...
Jan Camenisch, Markus Michels
96
Voted
ICML
2007
IEEE
16 years 16 days ago
Infinite mixtures of trees
Finite mixtures of tree-structured distributions have been shown to be efficient and effective in modeling multivariate distributions. Using Dirichlet processes, we extend this ap...
Sergey Kirshner, Padhraic Smyth