305 search results - page 28 / 61 » Markov Chain Monte Carlo with People |
112
Voted
NIPS
2001
15 years 2 months ago
2001
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
146
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ECCV
2002
Springer
16 years 2 months ago
2002
Springer
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
97
Voted
UAI
2000
15 years 2 months ago
2000
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
106
Voted
ISBI
2006
IEEE
16 years 1 months ago
2006
IEEE
In this paper, we use marked point processes to perform an unsupervised extraction of the coronary tree from 2D X-ray angiography. These processes provide a rigorous framework bas...
114
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NIPS
2008
15 years 2 months ago
2008
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...