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CONCUR
2009
Springer
15 years 9 months ago
Partial Order Reduction for Probabilistic Systems: A Revision for Distributed Schedulers
Abstract. The technique of partial order reduction (POR) for probabilistic model checking prunes the state space of the model so that a maximizing scheduler and a minimizing one pe...
Sergio Giro, Pedro R. D'Argenio, Luis María...
MICCAI
2004
Springer
16 years 4 months ago
A Data Clustering and Streamline Reduction Method for 3D MR Flow Vector Field Simplification
Abstract. With the increasing capability of MR imaging and Computational Fluid Dynamics (CFD) techniques, a significant amount of data related to the haemodynamics of the cardiovas...
Bernardo Silva Carmo, Yin-Heung Pauline Ng, Adam P...
ISBI
2008
IEEE
16 years 4 months ago
Deformation-based nonlinear dimension reduction: Applications to nuclear morphometry
We describe a new approach for elucidating the nonlinear degrees of freedom in a distribution of shapes depicted in digital images. By combining a deformation-based method for mea...
Gustavo K. Rohde, Wei Wang, Tao Peng, Robert F. Mu...
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HPCA
2005
IEEE
16 years 3 months ago
On the Limits of Leakage Power Reduction in Caches
If current technology scaling trends hold, leakage power dissipation will soon become the dominant source of power consumption in high performance processors. Caches, due to the f...
Yan Meng, Timothy Sherwood, Ryan Kastner
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
15 years 9 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis