Track 1. Pattern Recognition and Machine Learning

Submit Online: https://www.easychair.org/conferences/?conf=prai2024

Chair: Chi-Man Vong, University of Macau, China
     
Statistical, syntactic and structural pattern recognition
Machine learning and data mining
Artificial neural networks
Dimensionality reduction and manifold learning
Classification and clustering
Graphical Models for Pattern Recognition
Representation and analysis in pixel/voxel images
Support vector machines and kernel methods
Symbolic learning
Active and ensemble learning
Deep learning
Pattern recognition for big data
Transfer learning
Semi-supervised learning and spectral methods
Model selection
Reinforcement learning and temporal models
Performance Evaluation