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Learning-Based Compressive Subsampling

Volkan Cevher, Jonathan Mark Scarlett, Ilija Bogunovic, Yen-Huan Li, Luca Baldassarre, Baran Gözcü

The problem of recovering a structured signal

\mathbf{x} \in \mathbb{C}^p

from a set of dimensionality-reduced linear measurements

\mathbf{b} = \mathbf {A}\mathbf {x}

arises in a variety of applications, such as medical imaging, spectroscopy, Fourier o ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Ingénierie ferroviaire

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Observation of the B+ -> D*K--(+) pi(+) decay

Integrated maintenance model for heavy haul tracks

Learning-Based Compressive Subsampling

An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging

High precision trajectory and speed sensor and measuring method

Using Cardio-Respiratory Signals to Recognize Emotions Elicited by Watching Music Video Clips

HRL: Efficient and Flexible Reconfigurable Logic for Near-Data Processing

Analysis of Ballast Transport in the Event of Overflowing of the Drainage System on High Speed Lines

Towards non-invasive hybrid brain-computer interfaces: Framework, practice, clinical application and beyond

A Foldable Antagonistic Actuator

Observation of the B+ -> D*K--(+) pi(+) decay

High precision trajectory and speed sensor and measuring method

Learning-Based Compressive Subsampling

An Algorithm Architecture Co-Design for CMOS Compressive High Dynamic Range Imaging

HRL: Efficient and Flexible Reconfigurable Logic for Near-Data Processing

Towards non-invasive hybrid brain-computer interfaces: Framework, practice, clinical application and beyond

Integrated maintenance model for heavy haul tracks

Using Cardio-Respiratory Signals to Recognize Emotions Elicited by Watching Music Video Clips

Analysis of Ballast Transport in the Event of Overflowing of the Drainage System on High Speed Lines

A Foldable Antagonistic Actuator