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IJPRAI
2002
97views more  IJPRAI 2002»
15 years 6 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
FSS
2010
147views more  FSS 2010»
15 years 5 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
IJHPCA
2010
105views more  IJHPCA 2010»
15 years 5 months ago
A Pipelined Algorithm for Large, Irregular All-Gather Problems
We describe and evaluate a new, pipelined algorithm for large, irregular all-gather problems. In the irregular all-gather problem each process in a set of processes contributes in...
Jesper Larsson Träff, Andreas Ripke, Christia...
INFOCOM
2010
IEEE
15 years 5 months ago
Compressive Oversampling for Robust Data Transmission in Sensor Networks
—Data loss in wireless sensing applications is inevitable and while there have been many attempts at coping with this issue, recent developments in the area of Compressive Sensin...
Zainul Charbiwala, Supriyo Chakraborty, Sadaf Zahe...
OOPSLA
2010
Springer
15 years 5 months ago
Concurrency by modularity: design patterns, a case in point
General purpose object-oriented programs typically aren’t embarrassingly parallel. For these applications, finding enough concurrency remains a challenge in program design. To ...
Hridesh Rajan, Steven M. Kautz, Wayne Rowcliffe
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