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Multi-task compressive sensing with dirichlet process priors

Publication ,  Journal Article
Qi, Y; Liu, D; Dunson, D; Carin, L
Published in: Proceedings of the 25th International Conference on Machine Learning
January 1, 2008

Compressive sensing (CS) is an emerging £eld that, under appropriate conditions, can signi£cantly reduce the number of measurements required for a given signal. In many applications, one is interested in multiple signals that may be measured in multiple CS-type measurements, where here each signal corresponds to a sensing "task". In this paper we propose a novel multitask compressive sensing framework based on a Bayesian formalism, where a Dirichlet process (DP) prior is employed, yielding a principled means of simultaneously inferring the appropriate sharing mechanisms as well as CS inversion for each task. A variational Bayesian (VB) inference algorithm is employed to estimate the full posterior on the model parameters. Copyright 2008 by the author(s)/owner(s).

Duke Scholars

Published In

Proceedings of the 25th International Conference on Machine Learning

DOI

Publication Date

January 1, 2008

Start / End Page

768 / 775
 

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Qi, Y., Liu, D., Dunson, D., & Carin, L. (2008). Multi-task compressive sensing with dirichlet process priors. Proceedings of the 25th International Conference on Machine Learning, 768–775. https://doi.org/10.1145/1390156.1390253
Qi, Y., D. Liu, D. Dunson, and L. Carin. “Multi-task compressive sensing with dirichlet process priors.” Proceedings of the 25th International Conference on Machine Learning, January 1, 2008, 768–75. https://doi.org/10.1145/1390156.1390253.
Qi Y, Liu D, Dunson D, Carin L. Multi-task compressive sensing with dirichlet process priors. Proceedings of the 25th International Conference on Machine Learning. 2008 Jan 1;768–75.
Qi, Y., et al. “Multi-task compressive sensing with dirichlet process priors.” Proceedings of the 25th International Conference on Machine Learning, Jan. 2008, pp. 768–75. Scopus, doi:10.1145/1390156.1390253.
Qi Y, Liu D, Dunson D, Carin L. Multi-task compressive sensing with dirichlet process priors. Proceedings of the 25th International Conference on Machine Learning. 2008 Jan 1;768–775.

Published In

Proceedings of the 25th International Conference on Machine Learning

DOI

Publication Date

January 1, 2008

Start / End Page

768 / 775