S
Shruti Sharma
Researcher at Indian Institute of Technology Delhi
Publications - 4
Citations - 5
Shruti Sharma is an academic researcher from Indian Institute of Technology Delhi. The author has contributed to research in topics: Bayesian probability & Bayes' theorem. The author has an hindex of 1, co-authored 4 publications receiving 3 citations.
Papers
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Proceedings ArticleDOI
Variational Bayes Block Sparse Modeling with Correlated Entries
TL;DR: This paper proposes a three level hierarchical estimation framework that employs heavy-tailed priors for block sparse modeling and variational inference for Bayesian estimation and demonstrates the applicability of this framework in telemonitoring of Fetal Electrocardiogram.
Proceedings ArticleDOI
Temporal Modeling of EEG Signals using Block Sparse Variational Bayes Framework
TL;DR: Results show that the proposed temporal model is highly useful in processing SSVEP-EEG signals irrespective of the recognition algorithms used.
Proceedings ArticleDOI
Sparse Signal Recovery for Multiple Measurement Vectors with Temporally Correlated Entries: A Bayesian Perspective
TL;DR: Bayesian Sparse Signal Recovery (SSR) for Multiple Measurement Vectors, when elements of each row of solution matrix are correlated, is addressed and it can be seen that by exploiting temporal correlation information present in the successive image samples, the proposed framework can reconstruct the data with less linear random measurements with high fidelity.
Book ChapterDOI
Some Comments on Variational Bayes Block Sparse Modeling with Correlated Entries
TL;DR: The effect of the threshold to prune out variance parameters of algorithms corresponding to several choices of marginals, viz. multivariate Jeffery prior, multivariate Laplace distribution and multivariate Student’s t distribution is discussed.