PRML 2025 — 2025 6th International Conference on Pattern Recognition and Machine Learning

2025 The 6th International Conference on Pattern Recognition and Machine Learning (PRML) will take place in Chongqing, China during June 13 to 16, 2025. Sponsored by Chongqing University of Posts and Telecommunications, the conference aims to provide a high-level platform for academic exchange among researchers worldwide. We warmly invite researchers and engineers from academia and industry to submit their contributions and join us at the event to share insights and celebrate advancements in the field.

In recent years, the fields of pattern recognition and machine learning have seen remarkable advancements, particularly in applications such as image processing, natural language processing, autonomous driving, medical diagnostics, and intelligent manufacturing. These technologies have emerged as critical pillars of intelligent society. Established in 2020, the PRML conference series aims to foster academic research and technological innovation in these domains. As an annual international conference, PRML attracts experts and scholars from around the globe, offering a platform for showcasing technological advancements, disseminating research findings, and exploring future trends. The conference topics span fundamental theories, algorithm design, and applications of pattern recognition and machine learning across various industries, including cutting-edge areas such as deep learning, reinforcement learning, transfer learning, big data analytics, computer vision, and speech recognition.

Topics: Track 1: Computer Vision and Recognition ◇ Image and Video Classification ◇ Object Detection and Tracking ◇ Semantic Segmentation ◇ Content-based Image Retrieval ◇ Facial Recognition ◇ 3D Reconstructions ◇ Action Recognition Track 2: Deep Learning and Optimization ◇ Neural Generative Models, Autoencoders, GANs ◇ Optimization and Learning Methods ◇ Representation Learning and Deep Learning ◇ Scene Analysis and Understanding ◇ Transfer Learning, Low-Shot, Semi- and Unsupervised Learning ◇ Motion and Tracking Track 3: Artificial Intelligence (AI) in Biomedical Applications ◇ AI in Biomedical Signal and Image Processing ◇ Bioinformatics for Healthcare Wngineering ◇ Explainable AI, Fairness, Accountability, Privacy, Transparency and Ethics in Vision ◇ Biomedical Image Retrieval, Segmentation, Grouping and Shape using AI ◇ Applying Machine Learning-empowered Sensing to Biomedical Scenarios ◇ Distributed Computing for Big Data in Smart Healthcare using AI ◇ AI-enabled Remote Patient Monitoring using Big Data Track 4: Vision Applications and Systems (Click) ◇ Segmentation, Grouping, and Shape ◇ Vision + Language, Vision + Other Modalities ◇ Video Analysis and Understanding ◇ Vision Applications and Systems ◇ Vision for Robotics and Autonomous Vehicles ◇ Visual Reasoning and Logical Representation Track 5: Artificial Intelligence (AI) for Data Analytics ◇ Data Clustering, Classification, and Visualisation ◇ Explainable AI and Knowledge Discovery from Databases ◇ Fintech, Business Intelligence, Marketing Analytics, Risk Analytics and Decision Support ◇ Medical Diagnosis and Prognosis, Biomedical and Healthcare Analytics ◇ Predictive Maintenance, Condition Monitoring, Manufacturing Analytics ◇ Data Mining in Education, Transportation, Telecommunication, Agriculture, Energy, etc.