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142
Voted
PAMI
2010
15 years 2 months ago
2010
—We consider the problem of inferring and modeling topics in a sequence of documents with known publication dates. The documents at a given time are each characterized by a topic...
160
Voted
NIPS
2004
15 years 5 months ago
2004
As animals interact with their environments, they must constantly update estimates about their states. Bayesian models combine prior probabilities, a dynamical model and sensory e...
113
Voted
ICPR
2002
IEEE
16 years 4 months ago
2002
IEEE
This paper investigates the use of the Bayesian inference for devising an example-based rendering procedure. As prior model of this Bayesian inference, we exploit the multiscale n...
130
Voted
ICRA
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract— Imitation learning, or programming by demonstration (PbD), holds the promise of allowing robots to acquire skills from humans with domain-specific knowledge, who nonet...
117
Voted
ICCV
1999
IEEE
15 years 8 months ago
1999
IEEE
:We formulate structure from motion as a Bayesian inference problem, and use a Markov chain Monte Carlo sampler to sample the posterior on this problem. This results in a method th...