741 search results - page 61 / 149 » A Markov random field model for term dependencies |
153
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SODA
2001
ACM
15 years 7 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
149
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
We investigate the automated reconstruction of piecewise smooth 3D curves, using subdivision curves as a simple but flexible curve representation. This representation allows taggin...
175
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UM
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
151
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PAMI
2002
15 years 5 months ago
2002
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
154
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
In this paper, we present a mathematical theory for Marr's primal sketch. We first conduct a theoretical study of the descriptive Markov random field model and the generative...