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IJAR
2002
102views more  IJAR 2002»
13 years 7 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
SIGMOD
2006
ACM
156views Database» more  SIGMOD 2006»
14 years 7 months ago
MauveDB: supporting model-based user views in database systems
Real-world data -- especially when generated by distributed measurement infrastructures such as sensor networks -- tends to be incomplete, imprecise, and erroneous, making it impo...
Amol Deshpande, Samuel Madden
MMSEC
2006
ACM
195views Multimedia» more  MMSEC 2006»
14 years 1 months ago
Image annotation watermarking: nested object embedding using hypergraph model
In this paper, we introduce to the special domain of image annotation watermarking, based on embedding of hierarchical data related to objects into user-selected areas on an image...
Claus Vielhauer, Maik Schott
KR
2004
Springer
14 years 1 months ago
A Split-Combination Method for Merging Inconsistent Possibilistic Knowledge Bases
In this paper, a new method for merging multiple inconsistent knowledge bases in the framework of possibilistic logic is presented. We divide the fusion process into two steps: on...
Guilin Qi, Weiru Liu, David H. Glass
TOG
2008
122views more  TOG 2008»
13 years 7 months ago
Time-resolved 3d capture of non-stationary gas flows
Fluid simulation is one of the most active research areas in computer graphics. However, it remains difficult to obtain measurements of real fluid flows for validation of the simu...
Bradley Atcheson, Ivo Ihrke, Wolfgang Heidrich, Ar...