Publications associées à Sparse diffusion LMS for distributed adaptive estimation

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Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Volkan Cevher, Anastasios Kyrillidis

The least absolute shrinkage and selection operator (LASSO) for linear regression exploits the geometric interplay of the

\ell_2

-data error objective and the

\ell_1

-norm constraint to arbitrarily select sparse models. Guiding this uninformed selection ...

IEEE2012

Sparse diffusion LMS for distributed adaptive estimation

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Compressive Sampling Strategies for Multichannel Signals

Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements

Methods and systems for noise resilient, pin-efficient and low power communications with sparse signaling codes

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Deliverable 3.1: Report on Learning Structured Sparse Models

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Structured Sparsity Models for Compressively Sensed Electrocardiogram Signals: A Comparative Study

Sparsity Driven People Localization with a Heterogeneous Network of Cameras

Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Structured Sparsity Models for Compressively Sensed Electrocardiogram Signals: A Comparative Study

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements

Sparsity Driven People Localization with a Heterogeneous Network of Cameras

Methods and systems for noise resilient, pin-efficient and low power communications with sparse signaling codes

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Deliverable 3.1: Report on Learning Structured Sparse Models

Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models

Compressive Sampling Strategies for Multichannel Signals

Distributed Representation of Geometrically Correlated Images with Compressed Linear Measurements