The Portuguese Conference on Pattern Recognition – RECPAD 2023 – is now inviting submissions reporting research and recent developments in Pattern Recognition by
31 August 10 September 2023.
Scope and Topics
Authors are invited to submit two (2) page extended abstracts covering theoretical and/or applied work on pattern recognition. The work does not need to be novel, but proper citations must be included. All papers will be reviewed by at least two members of the RECPAD Scientific Committee.
RECPAD 2023 aims to promote collaboration among the Portuguese scientific community in the fields of Pattern Recognition, Image Analysis and Processing, Soft Computing, and related areas, including, but not limited to:
- 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
- Deep learning
- Transfer learning
- Natural language processing
Publication and Presentation Types
All accepted abstracts will be included in the conference book of abstracts, and distributed in electronic format.
Accepted abstracts will be presented as posters, the size of which cannot exceed A0 in portrait format.
Velcro pads and/or pins will be made available to all presenters to help stick the posters on the display boards.
Instructions for Authors
Please be aware of the conference deadlines.
Abstracts must be written in English and submitted in PDF format via the ConfTool Pro platform.
They must not exceed the 2-page limit, which includes any and all results, figures, tables, and references.
Abstracts must also be formatted according to the RECPAD templates:
MS Word Template
Abstracts that fail to meet any of the above requirements will not be reviewed.
The work presented in the abstract does not need to be novel, but proper citations must be included.