27 citations · 133 across the 25 of their papers we have counts for
6 papers · 1 filter
Low-Resolution Face Recognition In Resource-Constrained Environments
Mozhdeh Rouhsedaghat, Yifan Wang, Shuowen Hu +2
A non-parametric low-resolution face recognition model for resource-constrained environments with limited networking and computing is proposed in this work. Such environments often…
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…
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…
FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method
Mozhdeh Rouhsedaghat, Yifan Wang, Xiou Ge +3
A light-weight low-resolution face gender classification method, called FaceHop, is proposed in this research. We have witnessed rapid progress in face gender classification accura…
Object Detection on Single Monocular Images through Canonical Correlation Analysis
Zifan Yu, Suya You
Without using extra 3-D data like points cloud or depth images for providing 3-D information, we retrieve the 3-D object information from single monocular images. The high-quality…
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…