research
∙
06/29/2023
Prediction of COVID-19 Patients' Emergency Room Revisit using Multi-Source Transfer Learning
The coronavirus disease 2019 (COVID-19) has led to a global pandemic of ...
share
research
∙
05/24/2023
Using the Uniqueness of Global Identifiers to Determine the Provenance of Python Software Source Code
We consider the problem of identifying the provenance of free/open sourc...
research
∙
02/02/2023
MoE-Fusion: Instance Embedded Mixture-of-Experts for Infrared and Visible Image Fusion
Infrared and visible image fusion can compensate for the incompleteness ...
research
∙
07/13/2022
Online Active Regression
Active regression considers a linear regression problem where the learne...
research
∙
07/16/2021
Single Pass Entrywise-Transformed Low Rank Approximation
In applications such as natural language processing or computer vision, ...
research
∙
05/19/2021
Local Aggressive Adversarial Attacks on 3D Point Cloud
Deep neural networks are found to be prone to adversarial examples which...
research
∙
04/30/2021
Tensor Random Projection for Low Memory Dimension Reduction
Random projections reduce the dimension of a set of vectors while preser...
research
∙
03/16/2020
Multi-Drone based Single Object Tracking with Agent Sharing Network
Drone equipped with cameras can dynamically track the target in the air ...
research
∙
01/04/2020
FrequentNet : A New Deep Learning Baseline for Image Classification
In this paper, we generalize the idea from the method called "PCANet" to...
research
∙
04/29/2019
Why should you trust my interpretation? Understanding uncertainty in LIME predictions
Methods for interpreting machine learning black-box models increase the ...
research
∙
04/24/2019
Low-Rank Tucker Approximation of a Tensor From Streaming Data
This paper describes a new algorithm for computing a low-Tucker-rank app...
research
∙
12/03/2018
Large Spectral Density Matrix Estimation by Thresholding
Spectral density matrix estimation of multivariate time series is a clas...
research
∙
01/31/2018
