Sciweavers

165 search results - page 19 / 33
» Representing Probabilistic Relations in RDF
Sort
View
ML
2006
ACM
131views Machine Learning» more  ML 2006»
14 years 9 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
AIIA
2007
Springer
15 years 3 months ago
A Hierarchical Clustering Procedure for Semantically Annotated Resources
Abstract. A clustering method is presented which can be applied to relational knowledge bases. It can be used to discover interesting groupings of resources through their (semantic...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
CORR
2006
Springer
125views Education» more  CORR 2006»
14 years 9 months ago
10^(10^6) Worlds and Beyond: Efficient Representation and Processing of Incomplete Information
We present a decomposition-based approach to managing probabilistic information. We introduce world-set decompositions (WSDs), a space-efficient and complete representation system ...
Lyublena Antova, Christoph Koch, Dan Olteanu
JVCIR
2010
147views more  JVCIR 2010»
14 years 8 months ago
Modeling, classifying and annotating weakly annotated images using Bayesian network
We propose a probabilistic graphical model to represent weakly annotated images1 . This model is used to classify images and automatically extend existing annotations to new image...
Sabine Barrat, Salvatore Tabbone
CVIU
2008
179views more  CVIU 2008»
14 years 9 months ago
Incremental, scalable tracking of objects inter camera
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated cameras with non overlapping fields of view. The approach relie...
Andrew Gilbert, Richard Bowden