IMTAIX@ICPR2024 - Program online!
The IMTA IX program is now online!
The IMTA IX program is now online!
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".
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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. |
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/
The IMTA VIII program will feature a rich list of keynote speeches:
We thank all the speakers for making such a contribution to the success of the workshop.
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/