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/

The IMTA VIII program will feature a rich list of keynote speeches:

• V.V. Evdokimova, S.A. Bibikov, A.V. Nikonorov “Meta-Learning Approach in Diffractive Lens Computational Imaging”;
• I.B. Gurevich, V.V. Yashina ” On Modelling of Descriptive Image Analysis Procedures at Specialized Turing Machine”;
• N.Yu. Ilyasova, N.S. Demin “Application of Artificial Intelligence in Ophthalmology for the Diagnosis and Treatment of Eye Diseases”;
• A.V. Khvostikov, A.S. Krylov, I.A. Mikhailov, P.G. Malkov “Visualization of Whole Slide Histological Images with Automatic Tissue Type Recognition”.
• Eduardo Bayro-Corrochano "Algebraic Methods in Color Image Processing"
• P. Frosini "A new approach to topological data analysis and geometric deep learning through group equivariant non-expansive operators"
• G. X. Ritter, G. Urcid “Biomimetic Neural Networks”.

We thank all the speakers for making such a contribution to the success of the workshop.

IMTAVIII is scheduled for August 21, 2022. It will be held fully online in a full day.

For the program and updated information please check regularly: http://iapr-tc16.eu/IMTA/