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ICASSP
2011
IEEE
14 years 7 months ago
A wideband doubly-sparse approach for MITO sparse filter estimation
We propose an approach for the estimation of sparse filters from a convolutive mixture of sources, exploiting the time-domain sparsity of the mixing filters and the sparsity of ...
Simon Arberet, Prasad Sudhakar, Rémi Gribon...
ICASSP
2009
IEEE
15 years 10 months ago
Compressive spectral estimation for nonstationary random processes
We propose a “compressive” estimator of the Wigner-Ville spectrum (WVS) for time-frequency sparse, underspread, nonstationary random processes. A novel WVS estimator involving...
Alexander Jung, Georg Tauböck, Franz Hlawatsc...
JMLR
2010
202views more  JMLR 2010»
14 years 10 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
ICASSP
2011
IEEE
14 years 7 months ago
Sparse non-negative decomposition of speech power spectra for formant tracking
Many works on speech processing have dealt with auto-regressive (AR) models for spectral envelope and formant frequency estimation, mostly focusing on the estimation of the AR par...
Jean-Louis Durrieu, Jean-Philippe Thiran
125
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IPMI
2007
Springer
16 years 4 months ago
Liver Segmentation Using Sparse 3D Prior Models with Optimal Data Support
Abstract. Volume segmentation is a relatively slow process and, in certain circumstances, the enormous amount of prior knowledge available is underused. Model-based liver segmentat...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...