Search Results for author: Weining Shen

Found 4 papers, 0 papers with code

A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Link Rewiring

no code implementations1 Jan 2021 Gege Zhang, Gangwei Li, Weining Shen, Huixin Zhang, Weidong Zhang

Expressivity plays a fundamental role in evaluating deep neural networks, and it is closely related to understanding the limit of performance improvement.

Node Classification

Covariance Estimation for Matrix-valued Data

no code implementations11 Apr 2020 Yichi Zhang, Weining Shen, Dehan Kong

Covariance estimation for matrix-valued data has received an increasing interest in applications.

Matrix Linear Discriminant Analysis

no code implementations24 Sep 2018 Wei Hu, Weining Shen, Hua Zhou, Dehan Kong

We propose a novel linear discriminant analysis approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies.

General Classification regression

Elliptical modeling and pattern analysis for perturbation models and classfication

no code implementations22 Oct 2017 Shan Suthaharan, Weining Shen

In this paper, we proposed a nonlinear parametric perturbation model that transforms the input feature patterns to a set of elliptical patterns, and studied the performance degradation issues associated with random forest classification technique using both the input and transform domain features.

Dimensionality Reduction General Classification

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