PRAIA has acquired knowledge and conducts research using different techniques in the fields mentioned above. These techniques range from:

  1. Data preprocessing techniques, including normalizations, typifications, missing value management, outlier management, imperfect supervision, principal component, independent component extraction, etc.
  2. Traditional feature extraction techniques based on a priori knowledge, including representation spaces for geometric, statistical, or decision-theoretic based models, metric and pseudo-metric spaces, and syntactic and structural model-oriented encodings.
  3. Feature extraction techniques using ensembles.
Juan Carlos Pérez Cortés. (2015).
Pattern recognition in embedded systems: An overview..
Database and Expert Systems Applications, .

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José Ramón Navarro Cerdán, Joaquim Arlandis, Rafael Llobet Azpitarte, Juan-Carlos Perez-Cortes, . (2015).
Batch-adaptive rejection threshold estimation with application to ocr post-processing.
Expert Systems with Applications, .
http://10.1016/j.eswa.2015.06.022
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José Luis Guardiola García. (2013).
A database for evaluation of face recognition rates over an extended time period.
Proceedings ICB, .
José Luis Guardiola García. (2013).
License plate recognition using weighted finite-state transducers and different evidence combination meth- ods.
Iberian Conference on Pattern Recognition and Image Analysis, .
Juan Carlos Pérez Cortés. (2012).
Two methods for filled-in document image identification using local features..
Two methods for filled-in document image identification using local features., .
Juan-Carlos Perez-Cortes, Rafael Llobet, José Ramón Navarro Cerdán, Joaquim Arlandis. (2011).
Improvement of embedded human-machine interfaces combining language, hypothesis and error models.
2011 Database and Expert Systems Applications, DEXA, International Workshops, .
10.1109/DEXA.2011.40
Ismael Salvador Igual. (2011).
Computer vision applications: Home, office and industry..
22nd International Workshop on Database and Expert Systems Applications, .
ISBN:978-1-4577-0982-1
https://doi.org/10.1109/DEXA.2011.23
Joaquim Arlandis, Vicent Castelló Fos, Juan-Carlos Perez-Cortes. (2011).
Filled-in document identification using local features and a direct voting scheme.
Pattern Recognition and Image Analysis - 5th Iberian Conference, IbPRIA 2011, .
10.1007/978-3-642-21257-4_68
Joaquim Arlandis, Juan-Carlos Perez-Cortes, J. Ramón Navarro-Cerdán, Rafael Llobet. (2010).
Rejection threshold estimation for an unknown language model in an ocr task.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6218, 738-747.
https://doi.org/10.1007/978-3-642-14980-1_73
J. Ramón Navarro-Cerdán, Joaquim Arlandis, Juan-Carlos Perez-Cortes, Rafael Llobet. (2010).
User-defined expected error rate in ocr postprocessing by means of automatic threshold estimation.
12th International Conference on Frontiers in Handwriting Recognition, 405-409.