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TNN
2011
129views more  TNN 2011»
15 years 1 months ago
Minimum Complexity Echo State Network
—Reservoir computing (RC) refers to a new class of state-space models with a fixed state transition structure (the “reservoir”) and an adaptable readout form the state space...
Ali Rodan, Peter Tino
TSMC
2011
292views more  TSMC 2011»
15 years 1 months ago
Circular Blurred Shape Model for Multiclass Symbol Recognition
—In this paper, we propose a circular blurred shape model descriptor to deal with the problem of symbol detection and classification as a particular case of object recognition. ...
Sergio Escalera, Alicia Fornés, Oriol Pujol...
IEEEHPCS
2010
15 years 1 months ago
Preliminary results for Atmospheric Remote Sensing data processing through Grid computing
In September 2009, the Indian Remote Sensing OCEANSAT-2 satellite was launched from Sriharikota (India). Moreover, OCEANSAT-2 carry on-board a third payload, called ROSA (Radio Oc...
Lorenzo Mossucca, Olivier Terzo, Maurizio Molinaro...
JMLR
2010
137views more  JMLR 2010»
15 years 1 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
JMLR
2010
136views more  JMLR 2010»
15 years 1 months ago
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes
Variational Bayesian (VB) methods are typically only applied to models in the conjugate-exponential family using the variational Bayesian expectation maximisation (VB EM) algorith...
Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti...
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