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ICASSP
2011
IEEE
14 years 3 months ago
Directions-of-arrival estimation using a sparse spatial spectrum model with uncertainty
This paper is concerned with the estimation of the directionsof-arrival (DOA) of narrowband sources using a sparse spatial spectral model, when the model itself is not precise. Wh...
Jimeng Zheng, Mostafa Kaveh
ICASSP
2011
IEEE
14 years 3 months ago
Subspace pursuit method for kernel-log-linear models
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
Yotaro Kubo, Simon Wiesler, Ralf Schlüter, He...
MICCAI
2003
Springer
16 years 18 days ago
Pathology Growth Model Based on Particles
Virtual reality based surgical simulators offer the possibility to provide training on a wide range of findings of different pathologies. Current research aims at a high fidelity h...
Raimundo Sierra, Michael Bajka, Gábor Sz&ea...
ICML
2007
IEEE
16 years 16 days ago
Discriminative Gaussian process latent variable model for classification
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
Raquel Urtasun, Trevor Darrell
ISBI
2006
IEEE
16 years 13 days ago
Linearly constrained MEG beamformers for MVAR modeling of cortical interactions
Among the many methods for modeling cortical interactions using EEG and MEG data, Multivariate Autoregressive(MVAR) functional connectivity measures have the advantage of providin...
Hua Brian Hui, Richard M. Leahy