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CVPR
2004
IEEE
15 years 4 months ago
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
Yizhou Wang, Song Chun Zhu
MMB
2010
Springer
185views Communications» more  MMB 2010»
15 years 2 months ago
Reducing the Cost of Generating APH-Distributed Random Numbers
Phase-type (PH) distributions are proven to be very powerful tools in modelling and analysis of a wide range of phenomena in computer systems. The use of these distributions in sim...
Philipp Reinecke, Miklós Telek, Katinka Wol...
108
Voted
ICCS
2004
Springer
15 years 5 months ago
Velocity Field Modelling for Pollutant Plume Using 3-D Adaptive Finite Element Method
Air pollution models usually start from the computation of the velocity field of a fluid. In this paper, we present a model for computing that field based on the contribution of...
Gustavo Montero, Rafael Montenegro, José Ma...
79
Voted
ISBI
2008
IEEE
16 years 1 months ago
Flexible image registration for the identification of best fitted protein models in 3D-EM maps
In this work we propose an image registration algorithm to automatically fit protein atomic domain models into medium-resolution three-dimensional electron microscopy reconstructi...
Andrés Santos, Carlos Oscar Sánchez ...
104
Voted
COGSCI
2006
75views more  COGSCI 2006»
15 years 14 days ago
A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem
We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
Michael D. Lee