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» On computational limitations of neural network architectures
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FPL
2009
Springer
161views Hardware» more  FPL 2009»
14 years 3 days ago
A multi-FPGA architecture for stochastic Restricted Boltzmann Machines
Although there are many neural network FPGA architectures, there is no framework for designing large, high-performance neural networks suitable for the real world. In this paper, ...
Daniel L. Ly, Paul Chow
ICPR
2002
IEEE
14 years 8 months ago
A Neural Architecture for Fast and Robust Face Detection
In this paper, we present a connectionist approach for detecting and precisely localizing semi-frontal human faces in complex images, making no assumption about the content or the...
Christophe Garcia, Manolis Delakis
ICANN
2007
Springer
13 years 11 months ago
Text-Independent Speaker Authentication with Spiking Neural Networks
This paper presents a novel system that performs text-independent speaker authentication using new spiking neural network (SNN) architectures. Each speaker is represented by a set ...
Simei Gomes Wysoski, Lubica Benuskova, Nikola Kasa...
EDOC
2006
IEEE
13 years 11 months ago
A Fast and Efficient Route Finding Method for Car Navigation Systems with Neural Networks
In this paper we have proposed a new route finding method for car navigation systems meanwhile, have utilized learning power and high speed of neural networks in our proposed meth...
Mehdi Hashemzadeh
IGPL
2010
97views more  IGPL 2010»
13 years 6 months ago
A symbolic/subsymbolic interface protocol for cognitive modeling
Researchers studying complex cognition have grown increasingly interested in mapping symbolic cognitive architectures onto subsymbolic brain models. Such a mapping seems essential...
Patrick Simen, Thad A. Polk