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ICASSP
2011
IEEE
12 years 11 months ago
Weighted compressed sensing and rank minimization
—We present an alternative analysis of weighted 1 minimization for sparse signals with a nonuniform sparsity model, and extend our results to nuclear norm minimization for matric...
Samet Oymak, M. Amin Khajehnejad, Babak Hassibi
ICASSP
2011
IEEE
12 years 11 months ago
Bayesian sensing hidden Markov models for speech recognition
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
George Saon, Jen-Tzung Chien
ICASSP
2011
IEEE
12 years 11 months ago
Separation and tracking of multiple speakers in a reverberant environment using a multiple model particle filter glimpsing metho
In this paper, we explore the problem of separating and localizing multiple maneuvering speakers in a reverberant environment. Moreover, the speakers can become silent intermitten...
Alireza Masnadi-Shirazi, Bhaskar D. Rao
ICASSP
2011
IEEE
12 years 11 months ago
An uniqueness condition for the 4-way CANDECOMP/PARAFAC model with collinear loadings in three modes
In this paper we investigate the uniqueness of the 4-way CANDECOMP/PARAFAC (CP) model in the case where the only possible linear dependencies between the columns of the loading ma...
David Brie, Sebastian Miron, Fabrice Caland, Chris...
NIPS
2004
13 years 8 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu