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» A Graph Based Data Model for Graphics Interpretation
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139
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CSREAESA
2008
15 years 5 months ago
A Middleware for Model-Based Embedded Systems
To deal with the increasing complexity of embedded real-time systems the model-driven development approach has proven to be beneficial. The reduction of complexity achieved by the ...
Wolfgang Haberl, Jan Birke, Uwe Baumgarten
134
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QEST
2009
IEEE
15 years 10 months ago
On the Impact of Modelling Choices for Distributed Information Spread
—We consider a distributed shuffling algorithm for sharing data in a distributed network. Nodes executing the algorithm periodically contact each other and exchange data. The be...
Rena Bakhshi, Ansgar Fehnker
148
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JMLR
2010
129views more  JMLR 2010»
14 years 10 months ago
Expectation Truncation and the Benefits of Preselection In Training Generative Models
We show how a preselection of hidden variables can be used to efficiently train generative models with binary hidden variables. The approach is based on Expectation Maximization (...
Jörg Lücke, Julian Eggert
151
Voted
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
16 years 4 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
153
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ICPR
2004
IEEE
16 years 4 months ago
Non-linear Reflectance Model for Bidirectional Texture Function Synthesis
A rough texture modelling involves a huge image data-set - the Bidirectional Texture Function (BTF). This 6-dimensional function depends on planar texture coordinates as well as o...
Jirí Filip, Michal Haindl