83 search results - page 2 / 17 » A Practical Method for Self-adapting Gaussian Expectation Ma... |
PAMI
2011
13 years 7 days ago
2011
—This paper addresses the issue of matching rigid and articulated shapes through probabilistic point registration. The problem is recast into a missing data framework where unkno...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
We address the problem of regional color transfer between two natural images by probabilistic segmentation. We use a new Expectation-Maximization (EM) scheme to impose both spatia...
PAMI
2008
13 years 5 months ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
AAAI
2007
13 years 7 months ago
2007
We present a new probabilistic framework for finding likely variable assignments in difficult constraint satisfaction problems. Finding such assignments is key to efficient sea...