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NIPS
2008
15 years 8 months ago
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
C. C. Alan Fung, K. Y. Michael Wong, Si Wu
CSJM
2006
76views more  CSJM 2006»
15 years 6 months ago
Graph Coloring using Peer-to-Peer Networks
The popularity of distributed file systems continues to grow in last years. The reasons they are preferred over traditional centralized systems include fault tolerance, availabili...
Adrian Iftene, Cornelius Croitoru
CORR
2002
Springer
104views Education» more  CORR 2002»
15 years 6 months ago
Intelligent Search of Correlated Alarms for GSM Networks with Model-based Constraints
In order to control the process of data mining and focus on the things of interest to us, many kinds of constraints have been added into the algorithms of data mining. However, di...
Qingguo Zheng, Ke Xu, Weifeng Lv, Shilong Ma
ICASSP
2009
IEEE
16 years 1 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch
CISS
2008
IEEE
16 years 1 months ago
Threshold structure of channel aware distributed scheduling in ad-hoc networks: An optimal stopping view
— As evidenced by measurement data, channel fading and co-channel interference occur on the same time scales, and it is therefore difficult to determine if packet losses are due...
Junshan Zhang