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» A new look at state-space models for neural data
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NIPS
2008
13 years 11 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
TASLP
2008
101views more  TASLP 2008»
13 years 10 months ago
Speaker Identification Using Instantaneous Frequencies
This work presents an experimental evaluation of different features for use in speaker identification. The features are tested using speech data provided by the CHAINS corpus, in a...
Marco Grimaldi, Fred Cummins
ISPASS
2007
IEEE
14 years 4 months ago
An Analysis of Performance Interference Effects in Virtual Environments
Virtualization is an essential technology in modern datacenters. Despite advantages such as security isolation, fault isolation, and environment isolation, current virtualization ...
Younggyun Koh, Rob C. Knauerhase, Paul Brett, Mic ...

Publication
163views
12 years 6 months ago
Saliency Maps of High Dynamic Range Images
A number of computational models of visual attention have been proposed based on the concept of saliency map. Some of them have been validated as predictors of the visual scan-path...
Roland Brémond, Josselin Petit and Jean-Philippe...
ICANN
2009
Springer
14 years 4 months ago
Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF
Abstract. This paper’s intention is to present a new approach for decomposing motion trajectories. The proposed algorithm is based on nonnegative matrix factorization, which is a...
Sven Hellbach, Julian Eggert, Edgar Körner, H...