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JMLR
2010
202views more  JMLR 2010»
13 years 2 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
2010
IEEE
13 years 7 months ago
Music dereverberation using harmonic structure source model and Wiener filter
This paper proposes a dereverberation method for musical audio signals. Existing dereverberation methods are designed for speech signals and are not necessarily effective for supp...
Naoki Yasuraoka, Takuya Yoshioka, Tomohiro Nakatan...
SAC
2011
ACM
13 years 2 months ago
Slice sampling mixture models
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
Maria Kalli, Jim E. Griffin, Stephen G. Walker
ICASSP
2011
IEEE
12 years 11 months ago
Multivariate texture retrieval using the SIRV representation and the geodesic distance
This paper presents a new wavelet based retrieval approach based on Spherically Invariant Random Vector (SIRV) modeling of wavelet subbands. Under this multivariate model, wavelet...
Lionel Bombrun, Noureddine Lasmar, Yannick Berthou...
WSC
2004
13 years 9 months ago
Make-to-Stock Systems with Backorders: IPA Gradients
We consider single-stage, single-product Make-to-Stock systems with random demand and random service (production) rate, where demand shortages at the inventory facility are backor...
Yao Zhao, Benjamin Melamed