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» A robust model for spatiotemporal dependencies
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NIPS
2000
13 years 9 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...
WSC
1997
13 years 9 months ago
On the Effect and Control of Self-Similar Network Traffic: A Simulation Perspective
This paper presents a discussion of simulation-related issues arising in the study of self-similar network traffic with respect to its effect and control. Selfsimilar traffic has...
Kihong Park
COMPUTER
2002
89views more  COMPUTER 2002»
13 years 7 months ago
A Pattern for Softcoded Values
rs use models or abstractions that hide low-level implementation details. Various kinds of representations such as data models, state-transition models, and dataflow models can hel...
Michael R. Blaha, Cheryl Smith
ISMAR
2006
IEEE
14 years 1 months ago
Online camera pose estimation in partially known and dynamic scenes
One of the key requirements of augmented reality systems is a robust real-time camera pose estimation. In this paper we present a robust approach, which does neither depend on ofï...
Gabriele Bleser, Harald Wuest, Didier Stricker
CVPR
2006
IEEE
14 years 9 months ago
Shape Guided Object Segmentation
We construct a Bayesian model that integrates topdown with bottom-up criteria, capitalizing on their relative merits to obtain figure-ground segmentation that is shape-specific an...
Eran Borenstein, Jitendra Malik