Publications associées à Correlation Estimation from Compressed Images

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Sparsistency of $\ell_1$-Regularized $M$-Estimators

Volkan Cevher, Jonathan Mark Scarlett, Yen-Huan Li

We consider the model selection consistency or sparsistency of a broad set of

\ell_1

-regularized

M

-estimators for linear and non-linear statistical models in a unified fashion. For this purpose, we propose the local structured smoothness condition (LSS ...

2015

Correlation Estimation from Compressed Images

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Dual Langmuir-probe array for 3D plasma studies in TORPEX

Structure Tensor Total Variation

Adaptive Frequency Tracking for Robust Heart Rate Estimation Using Wrist-Type Photoplethysmographic Signals During Physical Exercise

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds

Sparsistency of $\ell_1$-Regularized $M$-Estimators

The effective reference frame in perceptual judgments of motion direction

Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging

Evaluation of audio source separation in the context of 3D audio

Power-Efficient Joint Compressed Sensing of Multi-Lead ECG Signals

Pattern-oriented memory interpolation of sparse historical rainfall records

Structure Tensor Total Variation

The effective reference frame in perceptual judgments of motion direction

Sparsistency of $\ell_1$-Regularized $M$-Estimators

Adaptive Frequency Tracking for Robust Heart Rate Estimation Using Wrist-Type Photoplethysmographic Signals During Physical Exercise

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds

Power-Efficient Joint Compressed Sensing of Multi-Lead ECG Signals

Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging

Pattern-oriented memory interpolation of sparse historical rainfall records

Dual Langmuir-probe array for 3D plasma studies in TORPEX

Evaluation of audio source separation in the context of 3D audio