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Topics of Interest
Our main topics of interest are organized in four areas and include - but are not limited to - the following: Topic Area 1 Pattern Recognition:

  • Data Clustering, Domain Adaptation and Generalization, Information Retrieval, Feature Extraction/Selection and Evaluation, Statistical Pattern Recognition, Structural Pattern Recognition, Time Series Processing
Topic Area 2 Computer Vision:
  • Behavior Recognition, Depth Processing and 3D Data, Face and Facial Expression Recognition, Human Pose Estimation, Image Fusion, Image Processing/Analysis, Multimodal Models (Vision + Language), Object Detection and Recognition, Scene Understanding, Segmentation, Video Analysis
Topic Area 3 Artificial Intelligence:
  • Causal Inference, Continual Learning, Expert Systems, GANs and Diffusion Models, Generative AI, Graph Neural Networks, Interpretability and Explainable AI, Knowledge Representation and Representation Learning, Machine/Deep Learning, Optimization, Reinforcement Learning, Semantic Analysis, Uncertainty Prediction, Zero- and Few-Shot Learning
Topic Area 4 Applications:
  • Autonomous Vehicles, Biometrics, Brain-Computer/Machine Interface, Brain-Inspired Computing, Document Analysis and Recognition, Human-Computer Interaction, Medical Data Processing, Natural Language Processing, Neural Information Processing, Odometry, Robotics, Social Computing, Unmanned Systems

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Address: International Center for Converging Technology, Room 202, Korea University, 145 Anam-ro, Sengbuk-gu, Seoul, 02841, Korea
Tel: +82-2-3290-5920, Business License Number: 314-82-78572
대표자: 서유헌, 상호명: 한국뇌교육학회
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Last update: 17, August. 2023