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» VLSI Implementation of Neural Networks
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IJCNN
2006
IEEE
14 years 1 months ago
In Situ Training of CMOL CrossNets
—— Hybrid semiconductor/nanodevice (“CMOL”) technology may allow the implementation of digital and mixed-signal integrated circuits, including artificial neural networks (...
Jung Hoon Lee, Konstantin Likharev
FCCM
2006
IEEE
201views VLSI» more  FCCM 2006»
13 years 11 months ago
Hardware/Software Approach to Molecular Dynamics on Reconfigurable Computers
With advances in reconfigurable hardware, especially field-programmable gate arrays (FPGAs), it has become possible to use reconfigurable hardware to accelerate complex applicatio...
Ronald Scrofano, Maya Gokhale, Frans Trouw, Viktor...
ICIAP
2005
ACM
14 years 7 months ago
A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
GLVLSI
2009
IEEE
154views VLSI» more  GLVLSI 2009»
14 years 2 months ago
Design of a maximum-likelihood detector for cooperative communications in intersymbol interference channels
Recently, cooperative communication has attracted a lot of attention for its potential to increase spatial diversity. However, limited attention has been paid to the physical laye...
Yanjie Peng, Andrew G. Klein, Xinming Huang
FCCM
1999
IEEE
146views VLSI» more  FCCM 1999»
14 years 1 days ago
Sepia: Scalable 3D Compositing Using PCI Pamette
We have implemented an image combining architecture that allows distributed rendering of a partitioned data set at interactive rates. The architecture achieves real-time frame rat...
Laurent Moll, Mark Shand, Alan Heirich