7 search results - page 1 / 2 » Maximum Conditional Likelihood via Bound Maximization and th... |
NIPS
1998
13 years 6 months ago
1998
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
PAMI
2011
12 years 11 months 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...
IPMI
2003
Springer
14 years 5 months ago
2003
Springer
Abstract. We present a Bayesian multimodality non-rigid image registration method. Since the likelihood is unknown in the general multimodality setting, we use a density estimator ...
ICVS
1999
Springer
13 years 9 months ago
1999
Springer
We propose Action-Reaction Learning as an approach for analyzing and synthesizing human behaviour. This paradigm uncovers causal mappings between past and future events or between...
INFOCOM
2010
IEEE
13 years 3 months ago
2010
IEEE
—Efficient operation of wireless networks and switches requires using simple (and in some cases distributed) scheduling algorithms. In general, simple greedy algorithms (known a...