890 search results - page 5 / 178 » Learning Generic Prior Models for Visual Computation |
IJAR
2008
14 years 9 months ago
2008
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
ACL
2010
14 years 7 months ago
2010
This paper presents a supervised approach for identifying generic noun phrases in context. Generic statements express rulelike knowledge about kinds or events. Therefore, their id...
ICA
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
We present a class of statistical models for part-based object recognition that are explicitly parameterized according to the degree of spatial structure they can represent. These...