741 search results - page 61 / 149 » A Markov random field model for term dependencies |
SODA
2001
ACM
14 years 11 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 ...
ECCV
2004
Springer
15 years 11 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...
UM
2009
Springer
15 years 2 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...
PAMI
2002
14 years 9 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...
ICCV
2003
IEEE
15 years 11 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...