activity
20162022
most citedFrom Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design

9 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Enhanced Low-resolution LiDAR-Camera Calibration Via Depth Interpolation and Supervised Contrastive Learning

Zhikang Zhang, Zifan Yu, Suya You +3

Motivated by the increasing application of low-resolution LiDAR recently, we target the problem of low-resolution LiDAR-camera calibration in this work. The main challenges are two…

cs.LG2020

Constructing Multilayer Perceptrons as Piecewise Low-Order Polynomial Approximators: A Signal Processing Approach

Ruiyuan Lin, Suya You, Raghuveer Rao +1

The construction of a multilayer perceptron (MLP) as a piecewise low-order polynomial approximator using a signal processing approach is presented in this work. The constructed MLP…

cs.LG2020★ 9 cited

From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design

Ruiyuan Lin, Zhiruo Zhou, Suya You +2

A closed-form solution exists in two-class linear discriminant analysis (LDA), which discriminates two Gaussian-distributed classes in a multi-dimensional feature space. In this wo…

eess.IV2020★ 3 cited

PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification

Yueru Chen, Mozhdeh Rouhsedaghat, Suya You +2

The successive subspace learning (SSL) principle was developed and used to design an interpretable learning model, known as the PixelHop method,for image classification in our prio…

stat.ML2016

Human Action Attribute Learning From Video Data Using Low-Rank Representations

Tong Wu, Prudhvi Gurram, Raghuveer M. Rao +1

Representation of human actions as a sequence of human body movements or action attributes enables the development of models for human activity recognition and summarization. We pr…