Haishun Du

ORCID: 0000-0003-0883-8118
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About
Contact & Profiles
Research Areas
  • Face and Expression Recognition
  • Video Surveillance and Tracking Methods
  • Gait Recognition and Analysis
  • Remote-Sensing Image Classification
  • Sparse and Compressive Sensing Techniques
  • Face recognition and analysis
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Visual Attention and Saliency Detection
  • Advanced Neural Network Applications
  • Human Pose and Action Recognition
  • Infrared Target Detection Methodologies
  • Domain Adaptation and Few-Shot Learning
  • Advanced Measurement and Detection Methods
  • Image Enhancement Techniques
  • Machine Learning and ELM
  • AI in cancer detection
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced Image Fusion Techniques
  • Cellular Automata and Applications
  • Face Recognition and Perception
  • Vehicular Ad Hoc Networks (VANETs)
  • Solidification and crystal growth phenomena
  • Vehicle Noise and Vibration Control
  • Radiomics and Machine Learning in Medical Imaging

Henan University
2015-2024

Zhengzhou University of Aeronautics
2020

10.1016/j.engappai.2024.107888 article EN Engineering Applications of Artificial Intelligence 2024-01-15

10.1007/s11633-015-0901-2 article EN International Journal of Automation and Computing 2015-11-06

10.1016/j.jvcir.2017.02.015 article EN Journal of Visual Communication and Image Representation 2017-02-17

10.1016/j.jvcir.2015.07.011 article EN Journal of Visual Communication and Image Representation 2015-07-23

Neighborhood Preserving Embedding (NPE) is a subspace learning algorithm, which has the ability of preserving local neighborhood structure on data manifold. Though NPE been applied in many domains pattern recognition, it vector-based method and will be encountered small size sample (SSS) problem when directly to face recognition. To address this problem, popular use PCA prior performing NPE, but pre-processing procedure using could result loss some important discriminatory information. In...

10.1109/icime.2010.5477710 article EN 2010-01-01
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