5 citations · 15 across the 7 of their papers we have counts for
7 papers
Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing
Hongyu Fu, Yijing Yang, Yuhuai Liu +4
Built upon the decision tree (DT) classification and regression idea, the subspace learning machine (SLM) has been recently proposed to offer higher performance in general classifi…
GUSOT: Green and Unsupervised Single Object Tracking for Long Video Sequences
Zhiruo Zhou, Hongyu Fu, Suya You +1
Supervised and unsupervised deep trackers that rely on deep learning technologies are popular in recent years. Yet, they demand high computational complexity and a high memory cost…
Design of Supervision-Scalable Learning Systems: Methodology and Performance Benchmarking
Yijing Yang, Hongyu Fu, C. -C. Jay Kuo
The design of robust learning systems that offer stable performance under a wide range of supervision degrees is investigated in this work. We choose the image classification probl…
Subspace Learning Machine (SLM): Methodology and Performance
Hongyu Fu, Yijing Yang, Vinod K. Mishra +1
Inspired by the feedforward multilayer perceptron (FF-MLP), decision tree (DT) and extreme learning machine (ELM), a new classification model, called the subspace learning machine…
On Supervised Feature Selection from High Dimensional Feature Spaces
Yijing Yang, Wei Wang, Hongyu Fu +1
The application of machine learning to image and video data often yields a high dimensional feature space. Effective feature selection techniques identify a discriminant feature su…
Unsupervised Lightweight Single Object Tracking with UHP-SOT++
Zhiruo Zhou, Hongyu Fu, Suya You +1
An unsupervised, lightweight and high-performance single object tracker, called UHP-SOT, was proposed by Zhou et al. recently. As an extension, we present an enhanced version and n…
UHP-SOT: An Unsupervised High-Performance Single Object Tracker
Zhiruo Zhou, Hongyu Fu, Suya You +2
An unsupervised online object tracking method that exploits both foreground and background correlations is proposed and named UHP-SOT (Unsupervised High-Performance Single Object T…