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ICASSP
2008
IEEE
15 years 10 months ago
Stream weight tuning in dynamic Bayesian networks
In this paper we present a family of algorithms for estimating stream weights for dynamic Bayesian networks with multiple observation streams. For the 2 stream case, we present a ...
Arthur Kantor, A. Hasegawa-Johnson
143
Voted
ICMCS
2008
IEEE
118views Multimedia» more  ICMCS 2008»
15 years 10 months ago
A stochastic model of selective visual attention with a dynamic Bayesian network
Recent studies in signal detection theory suggest that the human responses to the stimuli on a visual display are nondeterministic. People may attend to different locations on the...
Derek Pang, Akisato Kimura, Tatsuto Takeuchi, Junj...
ICPR
2008
IEEE
15 years 10 months ago
Direct 3-D shape recovery from image sequence based on multi-scale Bayesian network
We propose a new method for recovering a 3-D object shape from an image sequence. In order to recover high-resolution relative depth without using the complex Markov random field...
Norio Tagawa, Junya Kawaguchi, Shoichi Naganuma, K...
ICPR
2008
IEEE
15 years 10 months ago
Robust modeling and recognition of hand gestures with dynamic Bayesian network
In this paper, we propose a new gesture recognition model for a set of both one-hand and two-hand gestures based on the dynamic Bayesian network framework which makes it easy to r...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
130
Voted
AI
2007
Springer
15 years 9 months ago
Improving Importance Sampling by Adaptive Split-Rejection Control in Bayesian Networks
Importance sampling-based algorithms are a popular alternative when Bayesian network models are too large or too complex for exact algorithms. However, importance sampling is sensi...
Changhe Yuan, Marek J. Druzdzel