388 search results - page 12 / 78 » Convergence Properties of the K-Means Algorithms |
95
Voted
ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
AI
1998
Springer
15 years 3 months ago
1998
Springer
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
122
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AMAST
2004
Springer
15 years 3 months ago
2004
Springer
Distributed groupware systems consist of a group of users manipulating a shared object (like a text document, a filesystem, etc). Operational Transformation (OT) algorithms are app...
190
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
JAIR
2011
14 years 2 months ago
2011
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. We define the Gaussian fracti...