495 search results - page 28 / 99 » Extractive summarization using a latent variable model |
132
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
138
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
116
Voted
PKDD
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. This article presents a method for training Dynamic Factor Graphs (DFG) with continuous latent state variables. A DFG includes factors modeling joint probabilities betwee...
117
Voted
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Recognition using appearance features is confounded by
phenomena that cause images of the same object to look different,
or images of different objects to look the same. This
ma...
88
Voted
MODELS
2009
Springer
15 years 9 months ago
2009
Springer
This paper summarizes our experience with introducing feature modelling into several product lines within Siemens. Feature models are used for solving various tasks in the product ...