Recpad

RECPAD 2017 - THE 23th PORTUGUESE CONFERENCE ON PATTERN RECOGNITION

Recpad 2017

CALL4PAPERS         DATES         SPEAKER         COMMITTES         SUBMISSION         REGISTRATION         PROGRAM         VENUE

 

ABOUT:

Welcome to RecPad 2017, the 23th edition of the Portuguese Conference on Pattern Recognition, sponsored by the APRP (Associação Portuguesa de Reconhecimento de Padrões - Portuguese Association for Pattern Recognition).

This year RecPad is held at the Portuguese Military Academy, Amadora (Lisbon) on October 27, 2017.

Authors are invited to submit two (2) pages of extended abstracts on topics such as artificial intelligence, image processing and machine vision. Papers covering theoretical and/or applied work on computer vision are invited. All papers will be reviewed "double blind", normally by two members of our Scientific Committee. The reviewers will judge submissions on originality, theoretical and/or experimental results, quality of evaluation, and presentation. The accepted papers will be compiled and distributed only in electronic format.

RecPad 2017 is a single-track meeting with only poster presentations and one keynote speaker.

CALL FOR PAPERS:

RecPad 2017 is the Portuguese Conference on Pattern Recognition, sponsored by the APRP (Portuguese Association for Pattern Recognition). RecPad 2017 will take place at Portuguese Military Academy, Campus Amadora (Lisbon), Portugal, on October 27th, 2017. It is a one-day conference, with an invited talk and poster sessions.

RecPad 2017 promotes the collaboration between the Portuguese scientific community in the fields of Pattern Recognition, Image Analysis and Processing, Soft Computing, and related areas with example topics such as:

♦ Biometrics;
♦ Character recognition;
♦ Classification clustering ensembles and multi-classifiers;
♦ Data mining and big data;
♦ Feature extraction, discretization and selection;
♦ Fuzzy logic and fuzzy image processing;
♦ Gesture recognition;Hybrid methods;
♦ Image description and registration;
♦ Image enhancement, restoration and segmentation;
♦ Image understanding;Image fusion;
♦ Information theory;Intelligent systems;
♦ Machine vision;Neural network architectures;
♦ Object recognition;
♦ Pattern recognition applications;
♦ Sensors and sensor fusion;
♦ Soft computing techniques;
♦ Statistical methods;
♦ Syntactical methods.

The works should be submitted as extended abstracts for consideration by the Scientific Committee. The accepted papers will be compiled and distributed only in electronic format. The program of the conference is designed to allow travelling to Amadora (Lisbon) in the same day of the conference.

It is an ideal time for socializing and sharing experiences between young and senior researchers, showcasing their work and looking ahead to the future.

PDF version of the Call for Papers is available HERE.

We look forward to seeing you in Amadora (Lisbon).

DATES:

♦ Submission of Papers: September 4, 2017;
♦ Notification of Paper Acceptance: September 25, 2017;
♦ Submission of Camera-ready Papers: October 8, 2017;
♦ Author Registration: October 8, 2017;
♦ Conference: October 27, 2017

INVITED SPEAKER:

(Speaker is being invited)

COMMITTES:

Scientific Committee

(invitations are being sent)

Organizing Committee

  • Jose Silvestre Serra Silva, Chairman, (Military Academy);
  • Jorge Paulo Alves Torres, (Military Academy);
  • Pedro Nuno Mendonça dos Santos, (Military Academy);
  • Thomas Peter Gasche, (Military Academy).

Local Technical Support

Commandant' s Cabinet (Military Academy).
 

The papers should be submitted via EasyChair. The submission is done in four steps: set up an account with EasyChair, enter a paper title and abstract, and finally upload your paper. Please be sure to read the formatting instructions. Some common questions about submission can be send via the contact form. Submitted papers should be prepared according to the published specification for formatting and style.

Submit an article to RecPad 2017 (link available after July 1st, 2017)

Formatting your paper
The authors are invited to submit papers in PDF format with not more than two (2) pages including results, figures and references, according to the formatting style. Papers which are overlength will not be reviewed.

Typesetting for review
Papers must be formatted for blind review and according to the following templates:

♦ MS Word review template (link available shortly);
♦ LaTex review template (link available shortly).

All accepted papers will be presented as posters.

Camera Ready

The final version of the paper should add any information removed to anonymise the paper and remove any line numbering added for the review process. Please do take into account the comments from the reviewers when preparing the final version of your paper. Papers should be prepared according to the published specification for formatting and style. The length should not exceed two (2) pages.

♦ MS Word camera ready template (link available shortly);
♦ LaTex review camera ready template (link available shortly).

Poster presentations

♦ You will have a space for A0 portrait poster (85 x 120 cm maximum);
♦ Velcro pads or pins will be provided for affixing posters to the display boards.

REGISTRATION:

♦ Registrations are now closed. Will be open after July 1st, 2017.

PROGRAM:

♦ The conference program: (not available at present);
♦ The conference proceeding: (not available at present).

VENUE:

Location:

Address: Avenida Conde Castro Guimarães, 2720-113 Amadora, Portugal
http://academiamilitar.pt/contatos/campus-da-amadora.html

The city of Amadora is about 10/15 minutes by train from Lisbon. The Amadora train station is 10 minutes walk from the Portuguese Military Academy. You may check train time-table in:
https://www.cp.pt/passageiros/pt/consultar-horarios

Hotels:
Suggestion: Hotel Amadora Palace – This hotel is in centre of Amadora city, near train station, and a distance of 10 minutes walk from the Portuguese Military Academy.

How to contact the RECPAD2017 organization
Email: Este endereço de email está protegido contra piratas. Necessita ativar o JavaScript para o visualizar.
Telephone (Academia Militar) 213 186 900 | Extension 412766