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UAI
2008
15 years 8 months ago
Modelling local and global phenomena with sparse Gaussian processes
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
Jarno Vanhatalo, Aki Vehtari
ICASSP
2010
IEEE
15 years 1 months ago
Performance of shockwave-based shooter localization under model misspecification
This paper considers the estimation of shooter locations using a sensor network where each sensor measures the time difference between receptions of a firearm's muzzle blast ...
Joshua N. Ash, Gene T. Whipps, Richard J. Kozick
IJCNN
2006
IEEE
16 years 16 days ago
Learning using Dynamical Regime Identification and Synchronization
—This study proposes to generalize Hebbian learning by identifying and synchronizing the dynamical regimes of individual nodes in a recurrent network. The connection weights are ...
Nicolas Brodu
NPL
2006
82views more  NPL 2006»
15 years 6 months ago
How Online Learning Approaches Ornstein Uhlenbeck Processes
We show that under reasonable conditions, online learning for a nonlinear function near a local minimum is similar to a multivariate Ornstein Uhlenbeck process. This implies that ...
Fredrik A. Dahl
SPEECH
2011
15 years 1 months ago
Combining localization cues and source model constraints for binaural source separation
We describe a system for separating multiple sources from a two-channel recording based on interaural cues and prior knowledge of the statistics of the underlying source signals. ...
Ron J. Weiss, Michael I. Mandel, Daniel P. W. Elli...