4 citations · 19 across the 12 of their papers we have counts for
6 papers · 1 filter
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…
Statistical Attention Localization (SAL): Methodology and Application to Object Classification
Yijing Yang, Vasileios Magoulianitis, Xinyu Wang +1
A statistical attention localization (SAL) method is proposed to facilitate the object classification task in this work. SAL consists of three steps: 1) preliminary attention windo…
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…
HUNIS: High-Performance Unsupervised Nuclei Instance Segmentation
Vasileios Magoulianitis, Yijing Yang, C. -C. Jay Kuo
A high-performance unsupervised nuclei instance segmentation (HUNIS) method is proposed in this work. HUNIS consists of two-stage block-wise operations. The first stage includes: 1…
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…