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ICML
1999
IEEE
15 years 10 months ago
Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
Sebastian Thrun, John Langford, Dieter Fox
ICIP
2001
IEEE
15 years 11 months ago
Adaptive video background modeling using color and depth
Copyright 2001 IEEE. Published in the 2001 International Conference on Image Processing (ICIP-2001), October 7-10, 2001, Thessaloniki, Greece. Personal use of this material is per...
Gaile G. Gordon, John Woodfill, Michael Harville
BMCBI
2008
159views more  BMCBI 2008»
14 years 10 months ago
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via log
Background: Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome. The fact that gen...
Dawei Liu, Debashis Ghosh, Xihong Lin
CVPR
2007
IEEE
15 years 12 months ago
A Nonparametric Treatment for Location/Segmentation Based Visual Tracking
In this paper, we address two closely related visual tracking problems: 1) localizing a target's position in low or moderate resolution videos and 2) segmenting a target'...
Le Lu, Gregory D. Hager
CSDA
2007
82views more  CSDA 2007»
14 years 10 months ago
Non-parametric log-concave mixtures
Finite mixtures of parametric distributions are often used to model data of which it is known or suspected that there are subpopulations. Instead of a parametric model, a penalize...
Paul H. C. Eilers, M. W. Borgdorff