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133
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APPROX
2008
Springer
119views Algorithms» more  APPROX 2008»
15 years 5 months ago
The Complexity of Distinguishing Markov Random Fields
Abstract. Markov random fields are often used to model high dimensional distributions in a number of applied areas. A number of recent papers have studied the problem of reconstruc...
Andrej Bogdanov, Elchanan Mossel, Salil P. Vadhan
102
Voted
NIPS
2007
15 years 5 months ago
Markov Chain Monte Carlo with People
Many formal models of cognition implicitly use subjective probability distributions to capture the assumptions of human learners. Most applications of these models determine these...
Adam Sanborn, Thomas L. Griffiths
161
Voted
ICCV
2001
IEEE
16 years 5 months ago
Cloning Your Own Face with a Desktop Camera
: We have developed an easy and cost-effective system that constructs textured 3D animated face models from videos with minimal user interaction. Our system first takes, with an or...
Zhengyou Zhang, Zicheng Liu, Dennis Adler, Michael...
129
Voted
ICIP
2003
IEEE
16 years 5 months ago
Road network extraction in remote sensing by a Markov object process
In this paper, we rely on the theory of marked point processes to perform an unsupervised road network extraction from optical and radar images. A road network is modeled by a Mar...
Caroline Lacoste, Xavier Descombes, Josiane Zerubi...
ARTMED
2000
105views more  ARTMED 2000»
15 years 3 months ago
Planning treatment of ischemic heart disease with partially observable Markov decision processes
Diagnosis of a disease and its treatment are not separate, one-shot activities. Instead, they are very often dependent and interleaved over time. This is mostly due to uncertainty...
Milos Hauskrecht, Hamish S. F. Fraser