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» Approximate Learning of Dynamic Models
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EMSOFT
2001
Springer
15 years 9 months ago
Some Synchronization Issues When Designing Embedded Systems from Components
Abstract This paper is sort of a confession. Issues of synchrony, asynchrony, and synchronization, arise frequently in designing embedded systems from components, like everyone I k...
Albert Benveniste
CVPR
2008
IEEE
16 years 7 months ago
Physical simulation for probabilistic motion tracking
Human motion tracking is an important problem in computer vision. Most prior approaches have concentrated on efficient inference algorithms and prior motion models; however, few c...
Marek Vondrak, Leonid Sigal, Odest Chadwicke Jenki...
CONNECTION
2006
172views more  CONNECTION 2006»
15 years 5 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
ICDM
2009
IEEE
141views Data Mining» more  ICDM 2009»
15 years 11 months ago
Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis
—Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience, physical plant diagnostics, and human-compute...
Debprakash Patnaik, Srivatsan Laxman, Naren Ramakr...
158
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ICMLA
2004
15 years 6 months ago
Planning with predictive state representations
Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
Michael R. James, Satinder P. Singh, Michael L. Li...