Search Results for author: Srikantan S. Nagarajan

Found 5 papers, 2 papers with code

Sparse Estimation Using General Likelihoods and Non-Factorial Priors

no code implementations NeurIPS 2009 David P. Wipf, Srikantan S. Nagarajan

Finding maximally sparse representations from overcomplete feature dictionaries frequently involves minimizing a cost function composed of a likelihood (or data fit) term and a prior (or penalty function) that favors sparsity.

feature selection General Classification

Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG

no code implementations NeurIPS 2008 Julia Owen, Hagai T. Attias, Kensuke Sekihara, Srikantan S. Nagarajan, David P. Wipf

In a restricted setting, the proposed method is shown to have theoretically zero bias estimating both the location and orientation of multi-component dipoles even in the presence of correlations, unlike a variety of existing Bayesian localization methods or common signal processing techniques such as beamforming and sLORETA.

EEG Electroencephalogram (EEG)

A New View of Automatic Relevance Determination

no code implementations NeurIPS 2007 David P. Wipf, Srikantan S. Nagarajan

The result is an efficient algorithm that can be implemented using standard convex programming toolboxes and is guaranteed to converge to a stationary point unlike existing methods.

feature selection

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