Publications associées à Sparse Distributed Learning Based on Diffusion Adaptation

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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 Distributed Learning Based on Diffusion Adaptation

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Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression

Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression

Sparse diffusion LMS for distributed adaptive estimation

Sparsity-Inducing Reconstruction Methods for Fluorescence Diffuse Optical Tomography

Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

Compressible distributions for high-dimensional statistics

Compressive Sampling Strategies for Multichannel Signals

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Joint Low-rank and Sparse Light Field Modeling for Dense Multiview Data Compression

Sparse diffusion LMS for distributed adaptive estimation

Joint Low-Rank And Sparse Light Field Modelling For Dense Multiview Data Compression

Sparsity-Inducing Reconstruction Methods for Fluorescence Diffuse Optical Tomography

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Compressible distributions for high-dimensional statistics

Compressive Sampling Strategies for Multichannel Signals

Compressed Sensing of Simultaneous Low-Rank and Joint-Sparse Matrices

Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks