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» Modeling Urgency in Timed Systems
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JPDC
2006
106views more  JPDC 2006»
15 years 4 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
QEST
2006
IEEE
15 years 10 months ago
Safe On-The-Fly Steady-State Detection for Time-Bounded Reachability
The time-bounded reachability problem for continuoustime Markov chains (CTMCs) amounts to determine the probability to reach a (set of) goal state(s) within a given time span, suc...
Joost-Pieter Katoen, Ivan S. Zapreev
NIPS
2000
15 years 6 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
143
Voted
IPSN
2009
Springer
15 years 11 months ago
Recovering temporal integrity with Data Driven Time Synchronization
Data Driven Time Synchronization (DDTS) provides synchronization across sensors by using underlying characteristics of data collected by an embedded sensing system. We apply the c...
Martin Lukac, Paul Davis, Robert Clayton, Deborah ...
208
Voted
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 11 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)