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» Modelling Smooth Paths Using Gaussian Processes
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CAS
2007
87views more  CAS 2007»
13 years 10 months ago
An Accelerated Algorithm for Density Estimation in Large Databases Using Gaussian Mixtures
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
Alvaro Soto, Felipe Zavala, Anita Araneda
ICIP
2000
IEEE
14 years 3 months ago
Modelling Profiles with a Mixture of Gaussians
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
James Orwell, Darrel Greenhill, Jonathan D. Rymel,...
JMLR
2006
125views more  JMLR 2006»
13 years 11 months ago
A Linear Non-Gaussian Acyclic Model for Causal Discovery
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärin...
IJRR
2011
130views more  IJRR 2011»
13 years 2 months ago
LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information
— This paper presents LQG-MP (linear-quadratic Gaussian motion planning), a new approach to robot motion planning that takes into account the sensors and the controller that will...
Jur van den Berg, Pieter Abbeel, Ken Goldberg
ICASSP
2011
IEEE
13 years 2 months ago
Rao-Blackwellized particle filter for Gaussian mixture models and application to visual tracking
One of the most important problems in visual tracking is how to incrementally update the appearance model because the appearance of a target object can be easily changed with time...
Jungho Kim, In-So Kweon