About
The 11th International Conference on Pattern Recognition Systems (ICPRS) is an annual event that follows ICPRS-19, ICPRS-18, ICPRS-17 and ICPRS-16, a continuation of the successful Chilean Conference on Pattern Recognition that reached its 6th edition in 2014. In 2021 it is organised by the Universidad de Talca (Chile) and the Chilean Association for Pattern Recognition (ACHiRP, a member of the IAPR), endorsed by the IAPR and sponsored by the Vision and Imaging Professional Network of the Institution of Engineering and Technology (IET). As in previous years, papers will be published in electronic proceedings by the IET. Papers deemed to be of the required standard AND presented at the conference, will be normally indexed in Inspec, IEEE Xplore and Scopus. All paper submissions need to be submitted via Conftool to be peer-reviewed by an international panel of experts.
The International Conference on Pattern Recognition Systems (ICPRS-21) aims to create an important networking forum in which participants can discuss the present and future of pattern recognition systems.
Its predecessors ICPRS-19, ICPRS-18, ICPRS-17, ICPRS-16, CWPR and CCPR, have traditionally been a meeting point of different disciplines (computer science, engineering, mathematics, etc.) and an opportunity for a wide range of researchers and practitioners to discuss the many different aspects of the application of pattern recognition technologies.
When
Wednesday to Friday
17-19 March, 2021
Programme
Please note that the times given are for GMT-3, please adjust to your own time zone(s)
The conference is held through the Whova Platform (desktop or mobile)
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Registration
All authors of accepted papers and all other attendees, will need to register on EventBrite (please note that the system charges a small fee). The Eventbrite system that we use should be able to give you a receipt and an invoice (if you also enter your organisation's details).
NOTE The system only accepts payments via PayPal. For delegates unable to use that system, another option is to use Western Union. Please contact the conference Registration Chair for any issues with registration and also to get the details you need to do a transfer by Western Union, if you do not have access to PayPal.
The fee structure is as follows:
Category | Early Bird Fee (until 17 January 2021) |
Standard Fee (until 10 March 2021) |
Late Fee (from 11 March 2021) |
|
---|---|---|---|---|
Author (member ACHIRP, IAPR or IET) | USD100 | USD150 | USD170 | |
Author (non member) | USD150 | USD200 | USD220 | |
Student Author | USD50 | USD100 | USD120 | |
Non-Author | FREE | FREE | USD50 |
Event Speakers
Prof. Johan Debayle
Ec. Nat. Sup. des Mines,
Saint-Etienne, France
Prof. Marie Beurton-Aimar
Université Bordeaux, France
Prof. Angel Sappa
ESPOL/CVC (Ecuador/Spain)
Prof. Julian Fierrez
U. Autónoma de Madrid (Spain=)
Workshops
The conference will have a set of workshops that will take place after the sessions. These workshops will be given in Spanish and therefore the information below is in that language.
Día 1, Programación en GPU, Dr. Ricardo Barrientos
En este taller, se comenzará presentando un resumen del área de Computación de Alto Rendimiento, destacando su importancia y mostrando ejemplos de problemas actuales que resuelve. También, se analizará la arquitectura de una GPU destacando los distintos niveles de procesadores y de memorias que posee, así como la unidad mínima de ejecución en una GPU y el cómo se organizan los hilos para ser ejecutados. Luego, se estudiarán distintos ejemplos de programas en GPU (utilizando una tarjeta gráfica de NVIDIA con CUDA en lenguaje C). Estos ejemplos irán variando en su dificultad a través de este taller, y quedarán disponibles para los asistentes.
El Dr. Ricardo J. Barrientos recibió su Doctorado por la Universidad Complutense de Madrid, España (2013). También posee dos Magíster en Ciencias de la Computación, por la Universidad de Chile y la Universidad Complutense de Madrid. Obtuvo la Ingeniería en Computación por la Universidad de Magallanes, Chile. Actualmente, es académico jornada completa en la Universidad Católica del Maule (Chile), y es investigador en el laboratorio LITRP (www.litrp.cl). También, dirige un proyecto Fondef Idea, financiado por el ANID, Gobierno de Chile. Sus principales áreas de investigación son Computación de Alto Rendimiento, Biometría y Reconocimiento de Patrones.
Día 2, Máquina de Aprendizaje Extremo (Teoría y Aplicaciones), Dr. Marco Mora
Extreme Learning Machine (ELM) es un nuevo paradigma de entrenamiento de Redes Neuronales Feedforward tales como el Multilayer Perceptron. El entrenamiento de las Redes Neuronales se puede entender como un problema de optimización que busca el mejor conjunto de pesos que minimiza una función de distancia entre la salida de la red y la salida deseada. El algoritmo de backpropagation consiste en la búsqueda de los pesos considerando como función de costo el Error Cuadrático Medio y el algoritmo de optimización Descenso de Gradiente (DG). Por el contrario, ELM es una forma de entrenamiento que consiste en asignar aleatoriamente los pesos de la o las capas ocultas, y calcular mediante un algoritmo de optimización simple los pesos de la capa de salida. La literatura muestra que este tipo de entrenamiento corresponden a un aproximador universal de funciones, es decir es posible llegar a un error de entrenamiento tan pequeño como se desee. En el caso más conocido, los pesos de la capa de salida pueden ser obtenidos analíticamente mediante la solución de un sistema lineal sobredeterminado a través del cómputo de la pseudoinversa. La forma de entrenamiento ELM permite que el tiempo de entrenamiento disminuya dramáticamente, pero sin perder niveles de performance tanto de clasificación como regresión, siendo los resultados comparables con los conocidos MLP y SVM. Estas redes están teniendo una explosión en su utilización pues permiten abordar problemas complejos donde existan una gran cantidad de datos, o donde se requiere una gran cantidad de entrenamientos de la red como son los problemas de validación cruzada. En este tutorial se presenta una aproximación comprensiva de las redes ELM, se revisa inicialmente los con conceptos de las redes tradicionales, se presenta de forma pedagógica la red ELM, y se realiza una pruebas prácticas con algoritmos programados en Matlab/Octave.
Día 3, Redes Neuronales Convolucionales (Teoría y Aplicaciones). Dr. Ruber Hernández-García
En este taller se realizará una introducción a los fundamentos teóricos relacionados con el Aprendizaje Profundo y las Redes Neuronales Convolucionales (CNN). Se brindará un acercamiento a los componentes de las CNN, principales arquitecturas, procedimientos y buenas prácticas para el entrenamiento de CNN. Adicionalmente, se impartirá una sección práctica en la que abordaremos las herramientas disponibles para la implementación, entrenamiento y ejecución de redes convolucionales para la solución de casos prácticos a partir de modelos end-to-end y pre-entrenados usando Matlab y Python.
Organisers
Local Chair
Dr. Cesar Astudillo (Universidad de Talca, Chile)
General Chair
Prof. Sergio A. Velastin (Queen Mary University of London, UK; Vision & Imaging Network, IET, UK)
ACHIRP Chair
Dr. Hector Allende-Cid (Pontificia Universidad Catolica de Valparaiso, Chile)
Registrations Chair
Dr. Jose Luis Jara (Universidad de Santiago de Chile, Chile)
Tutorials Chairs
Dr .Ricardo Barrientos (Universidad Católica del Maule, Chile)Dr. Marco Mora (Universidad Católica del Maule, Chile)
Publications Chairs
Rodrigo Pavez (Universidad de Talca, Chile)Dr. Pablo Zegers (Aparnix, Chile)
IEEE Liaison
Dr. Jose Delpiano (Universidad de los Andes, Chile)
Regional Chairs
Dr. Márjory Da Costa Abreu (Sheffield-Hallam University, UK)Prof. José García-Rodríguez (Universidad de Alicante, Spain)
Dr. Gustavo Fernández (Austrian Institute of Technology, Austria)
Prof. Wilson Rivera (Universidad de Puerto Rico, Puerto Rico)
Dr. Matilde Santos (Universidad Complutense de Madrid, Spain)
Dr. Clovis Tauber (UMR U1253 iBrain, Univ. Tours, Inserm, Fance)
Dr. Maria Trujillo (Universidad del Valle, Colombia)
Prof. Qiao Wang (Southeast University, PR China)
Programme Committee
Prof. Lynn Abbott (Virginia Tech, USA)Dr. Anastassia Angelopoulou (University of Westminster, UK)
Dr. Mauricio Araya (UTFSM, Chile)
Dr. Diego Aracena (Universidad de Tarapacá, Chile)
Dr. Farshad Badie (Aalborg University, Denmark)
Dr. Attallah Bilal (M'sila University, Algéria)
Prof. John William Branch (Universidad Nacional de Colombia, Colombia)
Dr. Maria Elena Buemi (Universidad de Buenos Aires, Argentina)
Donatello Conte (University of Tours, France)
Ricardo Contreras (Universidad de Concepción, Chile)
Prof. Johan Debayle (Ecole Nationale Supérieure des Mines de Saint-Etienne, France)
Rudy Delaplace (University of Tours, France)
Dr. Jorge Espinosa-Oviedo (Politécnico Colombiano Jaime Isaza Cadavid, Colombia)
Dr. Ernesto Fabregas (UNED-Madrid, Spain)
Prof. Julián Fierrez (Universidad Autónoma de Madrid, Spain)
Prof. Alejandro C. Frery (Universidade Federal de Alagoas, Brazil)
Thierry Garcia (INP Toulouse, France)
Dr. Lahouari M Ghouti (King Fahd University of Petroleum and Minerals, Saudi Arabia)
Dr. Paulo González (Universitad Católica del Maule, Chile)
Dr. Ruber Hernández García (Universitad Católica del Maule, Chile)
Dr. Moncef Hidane (INSA CVL - LIFAT, France)
Dr. Martin Kampel (Vienna University of Technology, Austria)
Dr. Louahdi Khoudour (CEREMA, France)
Prof. Dimitrios Makris (Kingston University, UK)
Prof. Stephen Marshall (University of Strathclyde, UK)
Dr. Jose Fco Martinez Trinidad (Instituto Nacional de Astrofísica Óptica y Electrónica , Mexico)
Prof. Stephen Maybank (Birkbeck College, University of London, UK)
Dr. Antoine Manzanera (ENSTA ParisTech, France)
Prof. Vladimir Milián Núñez (Universidad de las Ciencias Informáticas, Cuba)
Dr. Miguel Moctezuma-Flores (Universidad Nacional de Mexico, Mexico)
Prof. Agustin Moreno (National University of Colombia, Colombia)
Dr. Sandrine Mouysset (University of Tours, France)
Dr. Thanh Phuong Nguyen (University of Toulon, France)
Prof. Mark Nixon (Southampton University, UK)
M. Angélica Pinninghoff J. (Universidad de Concepcion, Chile)
Dr. Osvaldo Andrés Pérez García (CENATAV, Cuba)
Dr. Andrea Prati (Università di Parma, Italy)
Dr Nicolas Ragot (Université de Tours/ LIFAT, France)
Dr. Eraldo Ribeiro (Florida Institute of Technology, USA)
Sarahi Rosas Gonzalez (University of Tours, France)
Dr Harvey Rosas (Valparaíso University, Chile)
Dr. Rodrigo J. Salas Fuentes (Universidad de Valparaiso, Chile)
Prof. Angel Sappa (Computer Vision Center/ESPOL, Spain/Ecuador)
Dr. César San Marín (Universidad de la Frontera, Chile
Dr. Mansi Sharma (Indian Institute of Technology Madras, India)
Prof. Pierre Spiteri (INP Toulouse, France)
Prof. Jinshan Tan (Michigan Technological University, USA)
Prof. Jose Fco. Vargas Bonilla (University of Antioquia, Colombia)
Dr. D.S. Vinod (Sri Jayachamarajendra College of Engineering, India)
Prof. Boris Vintimilla (Escuela Superior Politecnica del Litoral ESPOL, Ecuador)
Dr. Mohammad Haroon Yousaf (UET Taxila, Pakistan)
Dr. David Zabala-Blanco (Universidad Catolica del Maule, Chile)
Dr. Ghada Zamzmi National Institutes of Health (NIH), USA
Frequently Asked Questions
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Will the event will be online?
Due to the COVID outbreak, the conference will be mainly virtual via ZOOM. We invite researchers worldwide to submit their novel articles.
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Is there any facility for students to submit articles?
Students are encouraged to submit papers. There is a special discount for student authors. For details about the registration fees, please check the Registration section
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Will the conference be virtual, so a remote speaker can, not only present a paper but also watch the rest of the presentations?
Yes, the conference will be mainly virtual, although people who are able to attend physically will be welcome. So, authors can present virtually and also attend (virtually) all other presentations and tutorials. Non-author delegates who register before March 2021 can attend free of charge. Authors pay a small fee, depending on when they register.
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Do I have to pay extra if I have more than one paper accepted?
No. Each author pays a single registration fee, irrespective of the number of papers s/he has accepted. Nevertheless, as it is normally the case, each author of a given paper pays a separate fee.
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Do you have information about registration for remote speakers?
Everyone attending the conference, either virtually or physically, needs to register. Authors pay a small fee (student authors pay an even smaller fee). In fact there is no distinction in fees between remote (virtual) and physical speakers/attendees. Please see the Registration section for details.
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Will all accepted papers be indexed in IEEE Xplore and others?
Previous versions of the conference have been published by the IET and then indexed in Scopus and IEEXplore. This version will be published by the IET again. We expect that the papers will be indexed in Scopus and IEEXplore. However, this indexing process will depend on those entities' agreement and goes beyond the scope of our organizing committee. Please note that only papers that are accepted AND presented will be sent to the publisher. It is very important that the papers are in the correct format and have been proof-read by a competent English speaker, as the publisher may reject poorly written papers.
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Does a paper discussing the application of pattern recognition in the manufacturing industry (as a black-box, and not so much about which specific methods) fit your conference?
Yes! We welcome papers describing real-world applications of pattern recognition systems.
Previous ICPRS
- ICPRS-19
Tours, France (8-10/07/2019), ISBN: 978-1-83953-108-8 - ICPRS-18
Valparaiso, Chile (22-24/05/2018), ISBN: 978-1-78561-887-1 - ICPRS-17
Madrid, Spain (11-13/072017), ISBN: 978-1-51085-918-0
- ICPRS-16
Talca, Chile (20-22/04/2016), ISBN: 978-1-51082-562-8 - CCPR-14
Talca, Chile (10-14/11/2014), ISBN: 978-1-51081-143-0
Event Venue
The conference will be held mostly virtually, but you are invited to join us in Curico where we will also organise (tbc) a social event.
Universidad de Talca, Faculty of Engineering, Curicó - Chile
Committed to research, technology, continuing education and extension, with full adherence to institutional values and with the highest standards of academic and scientific quality.
Hotels
For those wishing to join us in Curico, here are some nearby hotels
Call For Papers
We also welcome "Datasets Papers" that introduce a new public dataset and a baseline to encourage new research.
An innovative aspect of this conference is that it will be mainly virtual so that authors, invited speakers and delegates will be able to attend through a webinar system.
Another innovation is that there will be a special category of "Student Papers", where the first author must be a student (undergraduate or postgraduate). There will be a special prize for best student paper.
All paper submissions will be submitted on-line to be peer-reviewed by an international panel of experts. Please note that all papers will be checked by a plagiarism detecting software so that papers that exceed a threshold of coincidence will not be passed on for reviews.
Also please note that reviewswill be double-blind so please do not include author names and affiliations in your paper (also do not cite your previous work as "in our previous paper [x]", etc.).
There is an A4 pdf version of the conference call for papers as well as an A3 size version and an A2 size version, suitable for printing and displaying on announcement boards! :-)
To submit a paper, please click here. If you have not yet done so, you will need to create an account (if you participated in ICPRS-19 you might already have an account). PLEASE NOTE that this year there is a special "Student Paper" category that requires the first author to be a registered student at the time of submission, otherwise use the normal paper category.
- Artificial Intelligence Techniques in Pattern Recognition
- Bioinformatics Clustering
- Biometrics (including face recognition)
- Computer Vision
- Dataset: a new public dataset and baseline
- Data Mining and Big Data
- Deep Learning and Neural Networks for Pattern Recognition
- Document Processing and Recognition
- Fuzzy and Hybrid Techniques in PR
- High Performance Computing for Pattern Recognition
- Image Processing and Analysis
- Kernel Machines
- Mathematical Morphology
- Mathematical Theory of Pattern Recognition
- Natural Language Processing and Recognition
- Object Detection, Tracking and Recognition
- Pattern Recognition Principles
- Real Systems, Applications and Case Studies of Pattern Recognition (e.g. health, environment, weather prediction,natural disasters, transportation, etc.)
- Robotics
- Remote Sensing
- Shape and Texture Analysis
- Social Media and HCI
- Signal Processing and Analysis
- Statistical Pattern Recognition
- Syntactical and Structural Pattern Recognition
- Voice and Speech Recognition
IMPORTANT DATES (Final Deadlines):
- Paper submissions:
02nd15th November 2020 - Notification of acceptance:
18th31st December 2020 - Camera-ready papers:
15th29th January 2021
Submissions
- Paper length will be up to 6 pages
- Papers must be written using the templates for Overleaf Latex, LaTeX (tar) LaTeX (zip) or MS-Word (we strongly encourage authors to use the LaTeX templates).
- Papers must be written in English.