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IJAR
2008
119views more  IJAR 2008»
13 years 6 months ago
Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications
We consider here the case where our knowledge is partial and based on a betting density function which is n-dimensional Gaussian. The explicit formulation of the least committed b...
Francois Caron, Branko Ristic, Emmanuel Duflos, Ph...
GRAPHITE
2005
ACM
14 years 1 months ago
Compositing color with texture for multi-variate visualization
Multivariate data visualization requires the development of effective techniques for simultaneously conveying multiple different data distributions over a common domain. Although ...
Haleh Hagh-Shenas, Victoria Interrante
NC
2006
132views Neural Networks» more  NC 2006»
13 years 7 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
PAMI
2007
107views more  PAMI 2007»
13 years 7 months ago
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
—In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mi...
Yi Ma, Harm Derksen, Wei Hong, John Wright
AICCSA
2005
IEEE
105views Hardware» more  AICCSA 2005»
14 years 1 months ago
Multivariate statistical analysis for network attacks detection
Detection and self-protection against viruses, worms, and network attacks is urgently needed to protect network systems and their applications from catastrophic failures. Once a n...
Guangzhi Qu, Salim Hariri, Mazin S. Yousif