The TC16 on “Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis” is glad to announce that the IMTA-IX workshop will take place as a satellite event of ICPR 2024 (Kolkata, India, December 1, 2024).
The main purpose of the IMTA VIII Workshop is to provide the fusion of modern mathematical approaches and techniques for image analysis/pattern recognition with the requests of applications using an image as initial data representation.
Participants will enjoy the opportunity to discuss methodological aspects and mathematical and computational techniques for automation of image mining on the base of mathematical theory for pattern recognition and image analysis. The workshop aims at discussing artificial intelligence techniques, in particular, linguistic and knowledge engineering tools for image mining and to estimate the prospects of the algebraic approaches in representation of image analysis knowledge. The interpretation of mathematical and linguistic techniques will be illustrated by application problems, mainly from biology and medicine, from automation of scientific research, industrial applications and of many other domains generating breakthrough and difficult application tasks.
TOPICS
Topics of interest include, but are not limited to, the following:
- Methodological advances in image analysis and pattern recognition with a special focus on
- Algebra
- Discrete mathematics
- Computational Topology
- Machine Learning
- New Mathematical Techniques in Image Mining
- Algebraic Approaches
- Image Algebras, Descriptive Image Algebras and Lattice Algebras
- Lattice-based Deep Hierarchical Representations and Neural Networks
- Discrete Mathematics Techniques
- Descriptive Image Analysis
- Ill-Structured Data Representation and Processing Problems
- Structural and Syntactic Techniques
- Multiple Classifiers and Fusion of Algorithms
- Pattern Recognition Techniques in Image-Mining Environment
- Other Mathematical Techniques
- Image Models, Representations and Features
- Feature Detectors
- Features from Autoencoder Networks
- Formalized Image Models
- Spatial Data Representations (Combinatorial Structures of Local Neighborhood)
- Dual Image Representations
- Automation of Image and Data Mining
- Image and Ill-Structured Data Analysis
- Image Mining, Computer Vision and Knowledge-Based Systems
- Image Databases
- Image Mining Technologies
- Artificial Intelligence Techniques in Image Mining<
- Knowledge Representation, Processing, Extracting and Analysis
- Image Knowledge Bases
- Linguistic Tools for Image Mining (Image Science Ontologies; Image Science Thesauri)
- Applied problems
- Bioinformatics
- Bioengineering
- Medical applications
- Industry and Economics
- Cultural Heritage
- Other Important, Difficult and Interesting Applied Problems
For updated papers submission instructions and important dates, please see: http://iapr-tc16.eu/IMTA/