Fetching the paper…

Reading the bibliography…

2021

Successive Subspace Learning: An Overview

Rouhsedaghat, Mozhdeh, Monajatipoor, Masoud, Azizi, Zohreh et al.

Original
PDF
Post on X

Understand

Successive Subspace Learning (SSL) offers a light-weight unsupervised feature learning method based on inherent statistical properties of data units (e.g.

image pixels and points in point cloud sets).
It has shown promising results, especially on small datasets.
In this paper, we intuitively explain this method, provide an overview of its development, and point out some open questions and challenges for future research.

Successive Subspace Learning: An Overview · Around

Built on

Understanding convolutional neural networks with a mathematical model
C-C Jay Kuo · 2016
Earlier work this paper cites.
The cnn as a guided multilayer recos transform [lecture notes]
C-C Jay Kuo · 2017
Earlier work this paper cites.
On data-driven saak transform
C-C Jay Kuo and Yueru Chen · 2018
Earlier work this paper cites.
Interpretable convolutional neural networks via feedforward design
C-C Jay Kuo, Min Zhang, Siyang Li, Jiali Duan, and Yueru Chen · 2019
Earlier work this paper cites.

Similar

Pixelhop++: A small successive-subspace-learning-based (ssl-based) model for image classification
Yueru Chen, Mozhdeh Rouhsedaghat, Suya You, Raghuveer Rao, and C-C Jay Kuo · 2020
Cited alongside, same era.
Pointhop++: A lightweight learning model on point sets for 3d classification
Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, and C-C Jay Kuo · 2020
Cited alongside, same era.
Facehop: A light-weight low-resolution face gender classification method
Original
Mozhdeh Rouhsedaghat, Yifan Wang, Xiou Ge, Shuowen Hu, Suya You, and C-C Jay Kuo · 2020
Cited alongside, same era.
Low-resolution face recognition in resource-constrained environments
Original
Mozhdeh Rouhsedaghat, Yifan Wang, Shuowen Hu, Suya You, and C-C Jay Kuo · 2020
Cited alongside, same era.

Then

Nites: A non-parametric interpretable texture synthesis method
Xuejing Lei, Ganning Zhao, and C-C Jay Kuo · 2020
Later among the works it cites.
Pixelhop: A successive subspace learning (ssl) method for object recognition
Yueru Chen and C-C Jay Kuo · 2020
Later among the works it cites.
Voxelhop: Successive subspace learning for als disease classification using structural mri
Original
Xiaofeng Liu, Fangxu Xing, Chao Yang, C-C Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, and Jonghye Woo · 2021
Closest in time.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…