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» A Paradigm for Parallel Matrix Algorithms:
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PE
2011
Springer
167views Optimization» more  PE 2011»
14 years 6 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...
77
Voted
EMNLP
2009
14 years 8 months ago
Weighted Alignment Matrices for Statistical Machine Translation
Current statistical machine translation systems usually extract rules from bilingual corpora annotated with 1-best alignments. They are prone to learn noisy rules due to alignment...
Yang Liu, Tian Xia, Xinyan Xiao, Qun Liu
BIBE
2007
IEEE
150views Bioinformatics» more  BIBE 2007»
15 years 5 months ago
Differential Scoring for Systolic Sequence Alignment
Systolic implementations of dynamic programming solutions that utilize a similarity matrix can achieve appreciable performance with both course- and fine-grain parallelization. A ...
Antonio E. de la Serna
ISPDC
2006
IEEE
15 years 5 months ago
Continuous Software Test Distributed Execution and Integrated into the Globus Toolkit
This article shows how the idea of continuous software testing [23] of a world wide working group can be well integrated into the Grid Computing paradigm using the Globus Toolkit ...
Christoph Reich, Bettina Scharpf
DGCI
2008
Springer
15 years 25 days ago
On Watershed Cuts and Thinnings
Abstract. We recently introduced the watershed cuts, a notion of watershed in edge-weighted graphs. In this paper, we propose a new thinning paradigm to compute them. More precisel...
Jean Cousty, Gilles Bertrand, Laurent Najman, Mich...