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» Using Probabilistic Information in Data Integration
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DEBU
2002
161views more  DEBU 2002»
15 years 2 months ago
Indexing and Retrieval of Historical Aggregate Information about Moving Objects
Spatio-temporal databases store information about the positions of individual objects over time. In many applications however, such as traffic supervision or mobile communication ...
Dimitris Papadias, Yufei Tao, Jun Zhang, Nikos Mam...
121
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JUCS
2010
100views more  JUCS 2010»
15 years 25 days ago
Spatial Reasoning with Integrated Qualitative-Metric Fuzzy Constraint Networks
Abstract: Qualitative Spatial Reasoning can be greatly improved if metric information can be represented and reasoning can be performed on it; moreover, modelling vagueness and unc...
Marco Falda
220
Voted
GIS
2006
ACM
16 years 3 months ago
Index for fast retrieval of uncertain spatial point data
Location information gathered from a variety of sources in the form of sensor data, video streams, human observations, and so on, is often imprecise and uncertain and needs to be ...
Dmitri V. Kalashnikov, Yiming Ma, Sharad Mehrotra,...
112
Voted
BMVC
2000
15 years 3 months ago
A Statistical Geometric Framework for Reconstruction of Scene Models
This paper addresses the problem of reconstructing surface models of indoor scenes from sparse 3D scene structure captured from N camera views. Sparse 3D measurements of real scen...
Anastasios Manessis, Adrian Hilton, Philip F. McLa...
ICML
2000
IEEE
16 years 3 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...