(The following topics include but are not limited to)
Track 1: Pattern Recognition
Artificial intelligence techniques in pattern recognition
Biometric recognition
Computer vision
Data mining and big data
File processing and recognition
Advanced learning methods
Linear models and dimensionality reduction
Machine learning methods
Model representation and selection
Fuzzy and hybrid techniques in PR
Image processing and analysis
Mathematical theories of pattern recognition
Natural language processing and recognition
Object detection, tracking and recognition
Principles of pattern recognition
Robots, remote sensing
Statistical pattern recognition
Syntactic and structural pattern recognition
Track 2: Computer Applications
Image processing, network optimization
Computer vision
Communication in the terahertz band
Nanowire networks, wireless multimedia networks
Pattern recognition
Video data mining
Representation learning, object recognition
Data visualization
Intelligent wireless communication
Intelligent wireless sensor networks
Medical robots
Robot sensing and data fusion
Robot monitoring
Track 3: Data Mining
Network mining, data stream mining
Parallel and distributed algorithms
Graph and subgraph mining
Large-scale data mining methods
Text, video and multimedia data mining
Scalable data preprocessing
High-performance data mining algorithms
Data security and privacy
E-commerce data mining systems, etc.