22^nd IEEE International Conference

Nov. 30 – Dec. 3, 2022, 2021, Orlando, FL, USA

Scope & Topics

The IEEE International Conference on Data Mining (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative and practical development experiences. The conference covers all aspects of data mining, including algorithms, software, systems, and applications. ICDM draws researchers, application developers, and practitioners from a wide range of data mining related areas such as big data, deep learning, pattern recognition, statistical and machine learning，databases, data warehousing, data visualization, knowledge-based systems, and high-performance computing. By promoting novel, high-quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to advance the state-of-the-art in data minin.

Topics of Interest :

Machine Vision, Image Processing, and Pattern Analysis

• Imaging Sensors
• Color and Texture Analysis
• Segmentation
• Motion and Tracking
• Stereo Vision
• Biometrics Recognition
• Image-Based Modeling
• Calibration and Geometry
• Illumination and Reflectance Modeling
• Soft Computing for Machine Vision
• Physics-Based Modeling
• Artificial Intelligence for Machine Vision
• Video Analysis
• Face and Gesture Recognition
• Action and Event Recognition
• Similarity/Dissimilarity Metrics
• Machine Learning
• Performance Evaluation
• Medical Image Analysis
• Image and Video Retrieval
• Structure from Motion
• Image Registration
• Image Enhancement
• Clustering
• Morphology and Blob Analysis
• Applications of Machine Vision

  Computer Vision and Image Analysis

• Active Vision
• Early Vision
• Feature Extraction
• Motion Analysis
• Representation
• Recognition (2D and 3D)
• Texture and Colour
• Scene Understanding
• Segmentation
• Shape from X
• Visual Navigation

  Pattern Recognition and Basic Technologies

• Statistical Pattern Recognition
• Structural and Syntactic Pattern Recognition
• Neural Networks
• Machine Learning and Data Mining
• Artificial Intelligence and Symbolic Learning
• Classification and Clustering
• Feature Selection, Dimensionality Reduction, Manifold Learning
• Kernel Methods and Support Vector Machines
• Invariance in Recognition
• Multiresolution Techniques
• OCR, Document Analysis and Understanding
• Information Retrieval

Paper Submission

Submit your contributions to Electronic Submission System; ( .pdf only).

Note: If you are interested in special sessions, after submission via system, please mail this to icdm2022chairs@gmail.com

Important Dates