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» Improved Algorithms for Data Migration
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TJS
2008
113views more  TJS 2008»
14 years 11 months ago
Improving the parallelism of iterative methods by aggressive loop fusion
Abstract. Traditionally, loop nests are fused only when the data dependences in the loop nests are not violated. This paper presents a new loop fusion algorithm that is capable of ...
Jingling Xue, Minyi Guo, Daming Wei
ECML
2007
Springer
15 years 6 months ago
Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
Abstract. The paper investigates modification of backpropagation algorithm, consisting of discretization of neural network weights after each training cycle. This modification, a...
Marcin Wojnarski
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
15 years 3 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani
ICVGIP
2004
15 years 1 months ago
Improved Cut-Based Foreground Identification
Automatic content based schemes, as opposed to those with human endeavor, have become important as users attempt to organize massive data presented in the form of multimedia data ...
Sharat Chandran, Satwik Hebbar, Vishal Mamania, Ab...
MATA
2004
Springer
149views Communications» more  MATA 2004»
15 years 5 months ago
Detecting and Proving Manipulation Attacks in Mobile Agent Systems
Mobile agents are software entities consisting of code, data and state that can migrate autonomously from host to host executing their code. Unfortunately, security issues restrict...
Oscar Esparza, Miguel Soriano, Jose L. Muño...