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» Using Data Mining to Estimate Missing Sensor Data
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PKDD
2009
Springer
196views Data Mining» more  PKDD 2009»
15 years 4 months ago
Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective
We consider causally sufficient acyclic causal models in which the relationship among the variables is nonlinear while disturbances have linear effects, and show that three princi...
Kun Zhang, Aapo Hyvärinen
KDD
2005
ACM
99views Data Mining» more  KDD 2005»
15 years 3 months ago
Disease progression modeling from historical clinical databases
This paper considers the problem of modeling disease progression from historical clinical databases, with the ultimate objective of stratifying patients into groups with clearly d...
Ronald K. Pearson, Robert J. Kingan, Alan Hochberg
ICIP
2004
IEEE
15 years 11 months ago
Motion-based shape error concealment for object-based video
In this paper, an original motion-based shape error concealment technique, especially useful for object-based video applications in error-prone environments such as mobile network...
Luis Ducla Soares, Fernando Pereira
ICIAR
2004
Springer
15 years 2 months ago
A Fast Probabilistic Bidirectional Texture Function Model
The bidirectional texture function (BTF) describes rough texture appearance variations due to varying illumination and viewing conditions. Such a function consists of thousands of ...
Michal Haindl, Jirí Filip
PR
2007
96views more  PR 2007»
14 years 9 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof