890 search results - page 150 / 178 » Learning a Generative Model for Structural Representations |
UAI
2003
13 years 9 months ago
2003
We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-bui...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
AO
2005
13 years 7 months ago
2005
There are a number of genuinely open questions concerning the use of domain models in nlp. It would be great if contributors to Applied Ontology could help addressing them rather ...
ISMIS
1997
Springer
13 years 11 months ago
1997
Springer
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
EUROGRAPHICS
2010
Eurographics
14 years 4 months ago
2010
Eurographics
Ray–based representations can model complex light transport but are limited in modeling diffraction effects that require the simulation of wavefront propagation. This paper prov...