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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

Sélection de caractéristique

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FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Selection and Aggregation of Ranking Criteria for Retrieval from Scientific Publication Databases

Unsupervised change detection with kernels

Experimental Validation of a Hybrid Computational Model for Selective Stimulation Using Transverse Intrafascicular Multichannel Electrodes

A Multi-Lead ECG Classification Based on Random Projection Features

Enhanced change detection using nonlinear feature extraction

On the Challenge of Classifying 52 Hand Movements from Surface Electromyography

A Multi-Lead Ecg Classification Based On Random Projection Features

Learning Near-optimal Decision Rules for Energy Efficient Building Control

FEATURE AND SCORE LEVEL COMBINATION OF SUBSPACE GAUSSIANS IN LVCSR TASK

Unsupervised change detection with kernels

A Multi-Lead ECG Classification Based on Random Projection Features

Experimental Validation of a Hybrid Computational Model for Selective Stimulation Using Transverse Intrafascicular Multichannel Electrodes

Selection and Aggregation of Ranking Criteria for Retrieval from Scientific Publication Databases

Combinatorial Selection and Least Absolute Shrinkage via the CLASH Algorithm

Enhanced change detection using nonlinear feature extraction

On the Challenge of Classifying 52 Hand Movements from Surface Electromyography

Learning Near-optimal Decision Rules for Energy Efficient Building Control

A Multi-Lead Ecg Classification Based On Random Projection Features