Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing

15 August 2022

Papers citing "Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing"

10 / 10 papers shown

Title
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences Zhiruo Zhou Hongyu Fu Suya You C.-C. Jay Kuo 34 7 0 15 Jul 2022
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking Yijing Yang Hongyu Fu C.-C. Jay Kuo OOD 41 11 0 18 Jun 2022
Subspace Learning Machine (SLM): Methodology and Performance Hongyu Fu Yijing Yang Vinod K. Mishra C.-C. Jay Kuo 51 5 0 11 May 2022
On Supervised Feature Selection from High Dimensional Feature Spaces Yijing Yang Wei Wang Hongyu Fu C.-C. Jay Kuo 39 51 0 22 Mar 2022
Unsupervised Lightweight Single Object Tracking with UHP-SOT++ Zhiruo Zhou Hongyu Fu Suya You C.-C. Jay Kuo VOT 48 4 0 15 Nov 2021
A-PixelHop: A Green, Robust and Explainable Fake-Image Detector Yao Zhu Xinyu Wang Hong-Shuo Chen Ronald Salloum C.-C. Jay Kuo 70 17 0 07 Nov 2021
UHP-SOT: An Unsupervised High-Performance Single Object Tracker Zhiruo Zhou Hongyu Fu Suya You Christoph Borel-Donohue C.-C. Jay Kuo VOT 58 9 0 05 Oct 2021
From Two-Class Linear Discriminant Analysis to Interpretable Multilayer Perceptron Design Ruiyuan Lin Zhiruo Zhou Suya You Raghuveer Rao C.-C. Jay Kuo 132 9 0 09 Sep 2020
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 56 157 0 05 Oct 2018
XGBoost: A Scalable Tree Boosting System Tianqi Chen Carlos Guestrin 613 38,735 0 09 Mar 2016