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IJCNN
2006
IEEE
15 years 8 months ago
In-Place Learning for Positional and Scale Invariance
— In-place learning is a biologically inspired concept, meaning that the computational network is responsible for its own learning. With in-place learning, there is no need for a...
Juyang Weng, Hong Lu, Tianyu Luwang, Xiangyang Xue
118
Voted
ICPP
2005
IEEE
15 years 8 months ago
Incremental Parallelization Using Navigational Programming: A Case Study
We show how a series of transformations can be applied to a sequential program to obtain programs that represent successive steps in exploiting parallelism in the original algorit...
Lei Pan, Wenhui Zhang, Arthur Asuncion, Ming Kin L...
99
Voted
TLCA
2005
Springer
15 years 7 months ago
The Elimination of Nesting in SPCF
We use a fully abstract denotational model to show that nested function calls and recursive definitions can be eliminated from SPCF (a typed functional language with simple non-lo...
James Laird
ADAEUROPE
2010
Springer
15 years 7 months ago
AdaStreams: A Type-Based Programming Extension for Stream-Parallelism with Ada 2005
Because multicore CPUs have become the standard with all major hardware manufacturers, it becomes increasingly important for ing languages to provide programming abstractions that ...
Gingun Hong, Kirak Hong, Bernd Burgstaller, Johann...
111
Voted
IPPS
1999
IEEE
15 years 6 months ago
GA-Based Parallel Image Registration on Parallel Clusters
Genetic Algorithms (GAs) have been known to be robust for search and optimization problems. Image registration can take advantage of the robustness of GAs in finding best transform...
Prachya Chalermwat, Tarek A. El-Ghazawi, Jacquelin...