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A review and categorization of techniques on device-free human activity recognition
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Proximal algorithms
This monograph is about a class of optimization algorithms called proximal algorithms. Much
like Newton's method is a standard tool for solving unconstrained smooth optimization …
like Newton's method is a standard tool for solving unconstrained smooth optimization …
Adaptive spatiotemporal SVD clutter filtering for ultrafast Doppler imaging using similarity of spatial singular vectors
Singular value decomposition of ultrafast imaging ultrasonic data sets has recently been
shown to build a vector basis far more adapted to the discrimination of tissue and blood flow …
shown to build a vector basis far more adapted to the discrimination of tissue and blood flow …
From denoising to compressed sensing
A denoising algorithm seeks to remove noise, errors, or perturbations from a signal.
Extensive research has been devoted to this arena over the last several decades, and as a …
Extensive research has been devoted to this arena over the last several decades, and as a …
Low‐rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components
Purpose To apply the low‐rank plus sparse (L+ S) matrix decomposition model to
reconstruct undersampled dynamic MRI as a superposition of background and dynamic …
reconstruct undersampled dynamic MRI as a superposition of background and dynamic …
The Optimal Hard Threshold for Singular Values is
We consider recovery of low-rank matrices from noisy data by hard thresholding of singular
values, in which empirical singular values below a threshold are set to 0. We study the …
values, in which empirical singular values below a threshold are set to 0. We study the …
Different approaches for human activity recognition: A survey
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Tensor SVD: Statistical and computational limits
In this paper, we propose a general framework for tensor singular value decomposition
(tensor singular value decomposition (SVD)), which focuses on the methodology and theory …
(tensor singular value decomposition (SVD)), which focuses on the methodology and theory …