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