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ICASSP
2011
IEEE
14 years 2 months ago
Quadratic optimization based small scale details extraction
In many image processing problems, it is required to extract small scale details from an image or a set of images. In this paper, we introduce a new framework for extracting small...
Zhengguo Li, Jinghong Zheng, Chuohao Yeo, Susanto ...
CORR
2006
Springer
110views Education» more  CORR 2006»
14 years 11 months ago
Methods for Partitioning Data to Improve Parallel Execution Time for Sorting on Heterogeneous Clusters
The aim of the paper is to introduce general techniques in order to optimize the parallel execution time of sorting on a distributed architectures with processors of various speeds...
Christophe Cérin, Jean-Christophe Dubacq, J...
IJCNN
2007
IEEE
15 years 5 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
IEEEPACT
2009
IEEE
15 years 5 months ago
Interprocedural Load Elimination for Dynamic Optimization of Parallel Programs
Abstract—Load elimination is a classical compiler transformation that is increasing in importance for multi-core and many-core architectures. The effect of the transformation is ...
Rajkishore Barik, Vivek Sarkar
PDPTA
1996
15 years 11 days ago
Solving a 2D Knapsack Problem on an Associative Computer Augmented with a Linear Network
This paper describes a parallelization of the sequential dynamic programming method for solving a 2D knapsack problem where multiples of n rectangular objects are optimally packed...
Darrell R. Ulm, Johnnie W. Baker