Varying Coefficient Model via Adaptive Spline Fitting
The varying coefficient model is a potent dimension reduction tool for nonparametric modeling and has received extensive attention from researchers. Most existing methods for fitting this model use…
ISACoT : Integrating Sensing with Data Traffic for Ubiquitous IoT Devices
The intention of leveraging Radio-Frequency (RF) resources for diverse sensing purposes has grown increasingly keen, thanks to the ever-expanding deployment of IoT devices using RF communications t…
A New Version of the Adaptive Fast Gauss Transform for Discrete and Continuou…
We present a new version of the fast Gauss transform (FGT) for discrete and continuous sources. Classical Hermite expansions are avoided entirely, making use only of the plane-wave representation o…
Low-Light Image and Video Enhancement Using Deep Learning : A Survey
Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination. Recent advances in this area are dominated by …
A Riemannian Proximal Newton Method
In recent years, the proximal gradient method and its variants have been generalized to Riemannian manifolds for solving optimization problems with an additively separable structure, i.e., f+h, whe…
Distributionally Favorable Optimization: A Framework for Data-Driven Decision…
A typical data-driven stochastic program seeks the best decision that minimizes the sum of a deterministic cost function and an expected recourse function under a given distribution. Recently, much…
Inventory Sharing Under Service Competition
Problem description: In many markets with demand uncertainties, competing retailers may share inventories for common products that they offer consumers. This paper examines how competitors’ produ…
Distributed High-Temperature Sensing Based on Non-Local Haar Transform in OFDR
We demonstrate a short-time long distance distributed high-temperature sensing by non-local Haar transform (NLH) in optical frequency domain reflectometry (OFDR). By searching similar pixels across…
Exactness Conditions for Semidefinite Programming Relaxations of Generalizati…
The extended trust region subproblem (ETRS) of minimizing a quadratic objective over the unit ball with additional linear constraints has attracted a lot of attention in the last few years because …
Effect of Lateral Alignment Error on Communication Performance of Space Chaot…
In space chaotic optical communication system, when chaotic signal is coupled into the fiber at receiving terminal, it will be affected by the lateral alignment error. To study the influence of it …
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