Topics of interest include all aspects of pattern recognition and applications. Specifically, include but not limited to:

Pattern classification
Feature extraction and dimensionality reduction
Clustering and probability density estimation
Support vector machines and kernel methods
Structural pattern recognition
Neural networks and deep learning
Semi-supervised learning
Self-supervised learning
Multi-task learning and transfer learning
Domain adaptation and generalization
Online and continual learning
Graph-based learning and reasoning
Speech recognition
Multi-modal learning
Biologically inspired learning and recognition
Image processing and enhancement
3D vision
Object detection and recognition
Motion analysis and tracking
Behavior recognition
Scene understanding
Human computer interaction
Image forensics
Handwriting recognition
Document analysis and understanding
Biometric systems
Multimedia analysis
Biomedical signal analysis
Remote sensing image analysis
Applications of pattern recognition and computer vision