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DASFAA
2011
IEEE
231views Database» more  DASFAA 2011»
12 years 8 months ago
Querying Moving Objects with Uncertainty in Spatio-Temporal Databases
Spatio-temporal uncertainty is a special feature of moving objects due to the inability of precisely capturing or predicting their continuously changing locations. Indeterminate lo...
Hechen Liu, Markus Schneider
ICML
2007
IEEE
14 years 5 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy
ICIP
2004
IEEE
14 years 6 months ago
Multisensor raster and vector data fusion based on uncertainty modeling
We propose a new methodology for fusing temporally changing multisensor raster and vector data by developing a spatially and temporally varying uncertainty model of acquired and t...
Sang-Chul Lee, Peter Bajcsy
COMAD
2008
13 years 6 months ago
The Orion Uncertain Data Management System
Orion is a state-of-the-art uncertain database management system that extends the relational model to include probabilistic uncertain data as first call data types. This demonstra...
Sarvjeet Singh, Chris Mayfield, Sagar Mittal, Suni...
PAMI
2006
143views more  PAMI 2006»
13 years 4 months ago
Variational Bayes for Continuous Hidden Markov Models and Its Application to Active Learning
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...
Shihao Ji, Balaji Krishnapuram, Lawrence Carin