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APPINF
2003
15 years 5 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
JPDC
2006
106views more  JPDC 2006»
15 years 3 months ago
Computing nearest neighbors in real time
The nearest-neighbor method can successfully be applied to correct possible errors induced into bit strings transmitted over noisy communication channels or to classify samples in...
Marius Nagy, Selim G. Akl
ICDCS
1995
IEEE
15 years 7 months ago
Parallel Processing on Networks of Workstations: A Fault-Tolerant, High Performance Approach
One of the mostsoughtaftersoftware innovation of thisdecade is the construction of systems using off-the-shelf workstations that actually deliver, and even surpass, the power and ...
Partha Dasgupta, Zvi M. Kedem, Michael O. Rabin
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 6 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
129
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ICPP
2007
IEEE
15 years 10 months ago
Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters
High performance clusters have been widely used to provide amazing computing capability for both commercial and scientific applications. However, huge power consumption has preven...
Ziliang Zong, Xiao Qin, Xiaojun Ruan, Kiranmai Bel...