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» Controlling data movement in global computing applications
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134
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IJCNN
2007
IEEE
15 years 10 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
145
Voted
PPOPP
1993
ACM
15 years 8 months ago
Integrating Message-Passing and Shared-Memory: Early Experience
This paper discusses some of the issues involved in implementing a shared-address space programming model on large-scale, distributed-memory multiprocessors. While such a programm...
David A. Kranz, Kirk L. Johnson, Anant Agarwal, Jo...
CL
2007
Springer
15 years 3 months ago
A bulk-synchronous parallel process algebra
The CCS (Calculus of Communicating Systems) process algebra is a well-known formal model of synchronization and communication. It is used for the analysis of safety and liveness i...
Armelle Merlin, Gaétan Hains
COMSIS
2010
15 years 1 months ago
3D point pattern matching based on spatial geometric flexibility
We propose a new method for matching two 3D point sets of identical cardinality with global similarity but local non-rigid deformations and distribution errors. This problem arises...
Xiaopeng Wei, Xiaoyong Fang, Qiang Zhang, Dongshen...
ICCV
2011
IEEE
14 years 3 months ago
DTAM: Dense Tracking and Mapping in Real-Time
DTAM is a system for real-time camera tracking and reconstruction which relies not on feature extraction but dense, every pixel methods. As a single hand-held RGB camera flies ov...
Richard A. Newcombe, Steven Lovegrove, Andrew J. D...