IMTAVIII@ICPR2022: Keynote speeches

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.

IMTA VIII @ICPR2022: Date defined

 

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/

TC16 Workshop "Image Mining. Theory and Applications" (IMTA VIII) @ ICPR2022

The TC16 on “Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis” is glad to announce that the IMTA-VIII workshop will take place as a satellite event of ICPR 2022 (Montreal, Canada, August 21-25, 2022).

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

PAPER SUBMISSION

We invite the submission of papers describing work in the domains suggested above or in closely-related areas. Papers should be submitted in English via EasyChair: https://easychair.org/conferences/?conf=imtaviii2022.

Submitted papers should be at least 3 pages (page format - 1 column; font - Times new Roman, font size - 12, 30 lines, 60 characters per line (with spaces), 2 intervals). Maximum size of paper is not limited but the recommended length is from 3 to 10 pages.

Accepted submissions will be presented either as oral or posters at the workshop.

IMPORTANT DATES


Workshop submission deadline: May 24th, 2022
Workshop author notification: May 31st, 2022
Camera-ready submission: June 5th, 2022
The deadlines are strict and will not be extended.

 

PROCEEDINGS


Proceedings will be published in a Special Issue "Proceedings of IMTA-VIII-2022" of the International Journal of the Russian Academy of Sciences "Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications" (PRIA, Vol. 32, No.3, 2022). The journal is distributed worldwide by Springer. PRIA is abstracted and/or indexed in the Web of Sciences, SCOPUS, ACM Digital library, CNKI, EBSCO Discovery Service, EI Compendex, Gale, Gale Academic OneFile, Google Scholar, INSPEC, OCLC WorldCat Discovery Service, ProQuest ABI/INFORM, ProQuest Advanced Technologies & Aerospace Database, ProQuest Business Premium Collection, ProQuest Central, ProQuest Computer and Information System Abstracts, ProQuest Computing Database, ProQuest Materials Science & Engineering Database, ProQuest Science Database, ProQuest SciTech Premium Collection, ProQuest Technology Collection, ProQuest-ExLibris Primo, ProQuest-ExLibris Summon, Russian Science Citation Index on the Web of Science Platform. Each paper in PRIA has DOI. See PRIA - http:// pleiades.online and http://link.springer.com After ICPR 2022, the extended texts of the papers presented at the IMTA-VIII-2022, selected and recommended by the IMTA Committee, will be published by Springer in the Lecture Notes in Computer Science (LNCS) series. The notification to authors will be sent in due time.

 

For updated papers submission instructions and important dates, please see: http://iapr-tc16.eu/IMTA/

IMTA VIII @ICPR2022: over 40 submissions!

 

We are glad to announce that we received over 40 presentations from 11 countries at our workshop IMTA.

The subject of the workshop includes theoretical and applied aspects of a wide class of problems in the following fields:
(a) extraction, processing, analysis, comparison, clustering, and detection of objects, recognition and assessing image quality;
(b) signal recognition, including spectral analysis;
(c) statistical problems, including the development of special metrics;
(d) studies of the mathematical, including algebraic, properties of multimodel image representations;
(e) methods for constructing, combining, and learning fast multialgorithmic and fuzzy classifiers;
(f) in-depth study and optimization of convolutional neural networks;
(g) applied problems of machine vision, artificial intelligence, and machine learning.

For updated  instructions and important dates, please see: http://iapr-tc16.eu/IMTA/

TC16 Workshop "Image Mining. Theory and Applications" (IMTA IX) @ ICPR2024

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/

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