115 search results - page 13 / 23 » Markov Chain Monte Carlo Estimation of Exponential Random Gr... |
106
Voted
ICML
2010
IEEE
15 years 22 days ago
2010
IEEE
Learning undirected graphical models such as Markov random fields is an important machine learning task with applications in many domains. Since it is usually intractable to learn...
114
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ECCV
2002
Springer
16 years 1 months ago
2002
Springer
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
CVPR
2005
IEEE
16 years 1 months ago
2005
IEEE
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
This paper studies a variational Bayesian unmixing algorithm for hyperspectral images based on the standard linear mixing model. Each pixel of the image is modeled as a linear com...
125
Voted
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...