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AAAI
2006
13 years 8 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
BMCBI
2005
127views more  BMCBI 2005»
13 years 7 months ago
Are scale-free networks robust to measurement errors?
Background: Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false nega...
Nan Lin, Hongyu Zhao
ICCV
2001
IEEE
14 years 9 months ago
A Co-inference Approach to Robust Visual Tracking
Visual trackan,g cou,ld be treeted as a param,eter estim.ation. problem, of target representastionbased on observations in im,age sequ.ences. A rich,er target represen,tation, wou...
Ying Wu, Thomas S. Huang
ICCAD
2004
IEEE
147views Hardware» more  ICCAD 2004»
14 years 4 months ago
Interval-valued reduced order statistical interconnect modeling
9, IO]. However, unlike the case with static timing, it is not so easy We show how recent advances in the handling of correlated interval representations of range uncertainty can b...
James D. Ma, Rob A. Rutenbar
BMCBI
2010
136views more  BMCBI 2010»
13 years 7 months ago
An integrated Bayesian analysis of LOH and copy number data
Background: Cancer and other disorders are due to genomic lesions. SNP-microarrays are able to measure simultaneously both genotype and copy number (CN) at several Single Nucleoti...
Paola M. V. Rancoita, Marcus Hutter, Francesco Ber...