38 search results - page 3 / 8 » Boosting and Maximum Likelihood for Exponential Models |
AMFG
2003
IEEE
13 years 11 months ago
2003
IEEE
We propose a new approach for combining acoustic and visual measurements to aid in recognizing lip shapes of a person speaking. Our method relies on computing the maximum likeliho...
JMLR
2008
13 years 6 months ago
2008
The statistical perspective on boosting algorithms focuses on optimization, drawing parallels with maximum likelihood estimation for logistic regression. In this paper we present ...
ICML
2005
IEEE
14 years 7 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
ICML
2004
IEEE
14 years 7 months ago
2004
IEEE
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...