Información de la conferencia
PRML 2023: International Conference on Pattern Recognition and Machine Learning
Día de Entrega:
2023-06-10 Extended
Fecha de Notificación:
Fecha de Conferencia:
Urumqi, China
Vistas: 4359   Seguidores: 1   Asistentes: 0

Solicitud de Artículos
PRML is an annual conference which aims to present the latest research and results of scholars and experts related to Pattern Recognition and Machine Learning. Topics of interest for submission include, but are not limited to:

Track 1: Computer Vision and Recognition 	
◇ 3D computer vision
◇ Action and Behavior Recognition
◇ Biometrics: Face, Gesture, Body Pose
◇ Computational Photography, Image and Video Synthesis
◇ Datasets and Evaluation
◇ Object Detection and Categorization 	

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: AI Ethics and Applications 	
◇ Efficient Training and Inference Methods for Networks
◇ Explainable AI, Fairness, Accountability, Privacy, Transparency, and Ethics in Vision
◇ Image Retrieval
◇ Low-Level and Physics-Based Vision
◇ Machine Learning Architectures and Formulations
◇ Medical, Biological, and Cell Microscopy 	

Track 4: Vision Applications and Systems
◇ 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 (Click) 	 
◇ 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.
Última Actualización Por Dou Sun en 2023-05-21
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