Sciweavers

779 search results - page 58 / 156
» Ranking distributed probabilistic data
Sort
View
SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 5 days ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 3 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
ICPR
2008
IEEE
15 years 11 months ago
A probabilistic approach for tracking fibers
This paper describes a combination of an automated image acquisition method and a probabilistic tracking method for analysis of the 3D microstructure of a sheet of paper. A protot...
Horst Bischof, Johannes Kritzinger, Michael Donose...
ACCV
2010
Springer
14 years 4 months ago
Estimating Meteorological Visibility Using Cameras: A Probabilistic Model-Driven Approach
Estimating the atmospheric or meteorological visibility distance is very important for air and ground transport safety, as well as for air quality. However, there is no holistic ap...
Nicolas Hautière, Raouf Babari, Eric Dumont...
COLT
2004
Springer
15 years 3 months ago
Learning Classes of Probabilistic Automata
Abstract. Probabilistic finite automata (PFA) model stochastic languages, i.e. probability distributions over strings. Inferring PFA from stochastic data is an open field of rese...
François Denis, Yann Esposito