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» Comparing operational models of name-passing process calculi
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STTT
2011
195views more  STTT 2011»
14 years 6 months ago
Parallel probabilistic model checking on general purpose graphics processors
We present algorithms for parallel probabilistic model checking on general purpose graphic processing units (GPGPUs). Our improvements target the numerical components of the tradit...
Dragan Bosnacki, Stefan Edelkamp, Damian Sulewski,...
94
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ICASSP
2009
IEEE
14 years 9 months ago
Fast belief propagation process element for high-quality stereo estimation
Belief propagation is a popular global optimization technique for many computer vision problems. However, it requires extensive computation due to the iterative message passing op...
Chao-Chung Cheng, Chia-Kai Liang, Yen-Chieh Lai, H...
TSMC
2002
110views more  TSMC 2002»
14 years 11 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
PVLDB
2010
146views more  PVLDB 2010»
14 years 6 months ago
HaLoop: Efficient Iterative Data Processing on Large Clusters
The growing demand for large-scale data mining and data analysis applications has led both industry and academia to design new types of highly scalable data-intensive computing pl...
Yingyi Bu, Bill Howe, Magdalena Balazinska, Michae...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
15 years 9 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...