A5030712423- Advanced Clustering Algorithms Research
- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Complex Network Analysis Techniques
- Advanced Computing and Algorithms
- Advanced Image and Video Retrieval Techniques
- Text and Document Classification Technologies
- Domain Adaptation and Few-Shot Learning
- Advanced Malware Detection Techniques
- Neural Networks and Applications
- Neural dynamics and brain function
- Network Security and Intrusion Detection
- EEG and Brain-Computer Interfaces
- Video Surveillance and Tracking Methods
- Internet Traffic Analysis and Secure E-voting
- Advanced Graph Neural Networks
- Brain Tumor Detection and Classification
- Data Management and Algorithms
China University of Mining and Technology
2021-2024
Ministry of Education of the People's Republic of China
2023
Shandong Jianzhu University
2017
Image clustering is a research hotspot in machine learning and computer vision. Existing graph-based semi-supervised deep methods suffer from three problems: 1) because uses only high-level features, the detailed information contained shallow-level features ignored; 2) most feature extraction networks employ step odd convolutional kernel, which results an uneven distribution of receptive field intensity; 3) adjacency matrix precomputed fixed, it cannot adapt to changes relationship between...
The biological signals collected by the multi-electrode array are contaminated heavy noise signals. How to quickly classify original action potential from measured noisy accurately is basis of researches in field neuroscience. In this paper, we analyze characteristics and shortcomings Wave-clus sorting algorithm, present a novel algorithm solve classification problem neuronal potentials. Besides, method FPGA implementation introduced for clustering algorithm. simulation results estimating...