598 search results - page 5 / 120 » Learning Generative Models with the Up-Propagation Algorithm |
IJCV
2000
13 years 7 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
TSP
2010
13 years 2 months ago
2010
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Many difficult visual perception problems, like 3D human motion estimation, can be formulated in terms of inference using complex generative models, defined over high-dimensional ...
TVCG
2012
11 years 10 months ago
2012
—This paper describes a fully automated framework to generate realistic head motion, eye gaze, and eyelid motion simultaneously based on live (or recorded) speech input. Its cent...
ACL
2012
11 years 10 months ago
2012
Temporal reasoners for document understanding typically assume that a document’s creation date is known. Algorithms to ground relative time expressions and order events often re...