IAPR-TC16 Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis

The TC16 on “Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis” is one of the Technical Committees of the International Association for Pattern Recognition (IAPR).

Its main aim is to identify, discuss and promote emerging research trends in mathematical methods for pattern recognition, including algebraic, geometrical, topological and discrete mathematical methodologies.

How to join IAPR-TC16?

Please be informed that TC16 is extending the scope of activity. With this respect, you are invited to join the Technical Committee and to take part in its diverse activity as much as you would be interested. Please, all you need to do is to contact the IAPR-TC16 Chair by This email address is being protected from spambots. You need JavaScript enabled to view it..

IMTAIX@ICPR2024 - Program online!

The IMTA IX  program is now online!

IMTAIX@ICPR2024 - Confirmed Keynote Speech

The IMTA IX  will feature a rich program encompassing keynote speeches.

Among them we mention the talk by Prof.ssa Stefania Sardellitti  who will deliver a talk titled "Topological Signal Processing over Cell Complex Spaces".

  

Short Bio: Stefania Sardellitti received the M.Sc. degree in Electronic Engineering from Sapienza, University of Rome, Italy, in 1998 and the Ph.D. degree in Electrical and Information Engineering from the University of Cassino, Italy, in 2005. From 2007 to 2019, she was a researcher at Sapienza University of Rome. From 2005 to 2019 she was an appointed professor of digital communications at the University of Cassino, Italy. Currently, she is an Associate Professor at the Department of Engineering and Science, Universitas Mercatorum, University of Italian Chambers of Commerce, Italy. She received the 2014 and the 2020 IEEE Best Paper Awards from the IEEE Signal Processing Society. She has been a Senior IEEE Member since 2023. Her research was supported by the European projects WINSOC, FREEDOM, TROPIC, 5G-MiEdge and RISE-6G. Her current research interests are in the area of topological signal processing, mobile edge computing and distributed optimization.

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/