147 search results - page 3 / 30 » Learning Multi-linear Representations of Distributions for E... |
ICCV
2001
IEEE
14 years 7 months ago
2001
IEEE
Tree-structured probabilistic models admit simple, fast inference. However, they are not well suited to phenomena such as occlusion, where multiple components of an object may dis...
ICGI
2010
Springer
13 years 3 months ago
2010
Springer
The Syntactic Concept Lattice is a residuated lattice based on the distributional structure of a language; the natural representation based on this is a context sensitive formalism...
ICML
2004
IEEE
14 years 6 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 ...
ICML
2009
IEEE
14 years 6 months ago
2009
IEEE
This paper gives an efficient Bayesian method for inferring the parameters of a PlackettLuce ranking model. Such models are parameterised distributions over rankings of a finite s...
ECCV
2006
Springer
14 years 7 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...