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» Modelling and Using Imperfect Context Information
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ISIPTA
2005
IEEE
161views Mathematics» more  ISIPTA 2005»
15 years 3 months ago
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial information on the distribution of the states of nature is available, either by observations of ...
Lev V. Utkin, Thomas Augustin
84
Voted
ICCV
2009
IEEE
16 years 2 months ago
Quantifying Contextual Information for Object Detection
Context is critical for minimising ambiguity in object de- tection. In this work, a novel context modelling framework is proposed without the need of any prior scene segmen- tat...
Wei-Shi Zheng, Shaogang Gong and Tao Xiang
CORR
2006
Springer
123views Education» more  CORR 2006»
14 years 9 months ago
Context for models of concurrency
Many categories have been used to model concurrency. Using any of these, the challenge is to reduce a given model to a smaller representation which nevertheless preserves the relev...
Peter Bubenik
CISIS
2010
IEEE
15 years 4 months ago
CANDEL: Product Line Based Dynamic Context Management for Pervasive Applications
— In pervasive environment, it is essential for computing applications to be context-aware. However, one of the major challenges is the establishment of a generic and dynamic con...
Zakwan Jaroucheh, Xiaodong Liu, Sally Smith
JUCS
2006
107views more  JUCS 2006»
14 years 9 months ago
Sequential Data Assimilation: Information Fusion of a Numerical Simulation and Large Scale Observation Data
: Data assimilation is a method of combining an imperfect simulation model and a number of incomplete observation data. Sequential data assimilation is a data assimilation in which...
Kazuyuki Nakamura, Tomoyuki Higuchi, Naoki Hirose