Search Results for author:
Found 9 papers, 1 papers with code
Variational Bayesian Learning Based Localization and Channel Reconstruction in RIS-aided Systems
As opposed to existing works that treat channel estimation and localization independently, this paper exploits the intrinsic coupling and nonlinear relationships between the channel parameters and user location for enhancement of both localization and channel reconstruction.
X2-Softmax: Margin Adaptive Loss Function for Face Recognition
Learning the discriminative features of different faces is an important task in face recognition.
Natural Language Processing for Smart Healthcare
Smart healthcare has achieved significant progress in recent years.
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information
We present a novel adaptive optimization algorithm for large-scale machine learning problems.
Centimeter-Wave Free-Space Time-of-Flight Imaging
In this work, we close this gap and propose a computational imaging method for all-optical free-space correlation before photo-conversion that achieves micron-scale depth resolution with robustness to surface reflectance and ambient light with conventional silicon intensity sensors.
AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods
We present AI-SARAH, a practical variant of SARAH.
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media
Most of today's supervised imaging and vision approaches, however, rely on training data collected in the real world that is biased towards good weather conditions, with dense fog, snow, and heavy rain as outliers in these datasets.
Finite Difference Neural Networks: Fast Prediction of Partial Differential Equations
Discovering the underlying behavior of complex systems is an important topic in many science and engineering disciplines.
FD-Net with Auxiliary Time Steps: Fast Prediction of PDEs using Hessian-Free Trust-Region Methods
Discovering the underlying physical behavior of complex systems is a crucial, but less well-understood topic in many engineering disciplines.
