
-
DARWIN: A Highly Flexible Platform for Imaging Research in Radiology
To conduct a radiomics or deep learning research experiment, the radiolo...
read it
-
Defect segmentation: Mapping tunnel lining internal defects with ground penetrating radar data using a convolutional neural network
This research proposes a Ground Penetrating Radar (GPR) data processing ...
read it
-
Asynchronous Policy Evaluation in Distributed Reinforcement Learning over Networks
This paper proposes a fully asynchronous scheme for policy evaluation of...
read it
-
Distributed Adaptive Newton Methods with Globally Superlinear Convergence
This paper considers the distributed optimization problem over a network...
read it
-
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
Because tensor data appear more and more frequently in various scientifi...
read it
-
Sparse and Low-Rank Tensor Regression via Parallel Proximal Method
Motivated by applications in various scientific fields having demand of ...
read it
-
Distributed Conjugate Gradient Tracking for Resource Allocation in Unbalanced Networks
This paper proposes a distributed conjugate gradient tracking algorithm ...
read it
-
Decentralized Stochastic Gradient Tracking for Non-convex Empirical Risk Minimization
This paper studies a decentralized stochastic gradient tracking (DSGT) a...
read it
-
Decentralized Stochastic Gradient Tracking for Empirical Risk Minimization
Recent works have shown superiorities of decentralized SGD to centralize...
read it
-
A system for generating complex physically accurate sensor images for automotive applications
We describe an open-source simulator that creates sensor irradiance and ...
read it
-
Asynchronous Decentralized Optimization in Directed Networks
A popular asynchronous protocol for decentralized optimization is random...
read it
-
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks
Semantic segmentation is one of the basic topics in computer vision, it ...
read it
-
AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs
This paper proposes a novel exact asynchronous subgradient-push algorith...
read it
-
Efficient Private ERM for Smooth Objectives
In this paper, we consider efficient differentially private empirical ri...
read it