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» Computationally Efficient Neural Field Dynamics
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APPINF
2003
13 years 7 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu
CGF
2010
189views more  CGF 2010»
13 years 5 months ago
Real-time Depth of Field Rendering via Dynamic Light Field Generation and Filtering
We present a new algorithm for efficient rendering of high-quality depth-of-field (DoF) effects. We start with a single rasterized view (reference view) of the scene, and sample t...
Xuan Yu, Rui Wang, Jingyi Yu
CJ
2008
108views more  CJ 2008»
13 years 5 months ago
Computing with Time: From Neural Networks to Sensor Networks
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
Boleslaw K. Szymanski, Gilbert Chen
ICIP
2003
IEEE
14 years 7 months ago
Non-linear 3D rendering workload prediction based on a combined fuzzy-neural network architecture for grid computing application
Although, computational Grid has been initially developed to solve large-scale scientific research problems, it is extended for commercial and industrial applications. An interest...
John K. Doulamis, Anastasios D. Doulamis
EUROCAST
2003
Springer
130views Hardware» more  EUROCAST 2003»
13 years 11 months ago
A Model of Neural Inspiration for Local Accumulative Computation
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge ...
José Mira, Miguel Angel Fernández, M...