Juan Bekios-Calfa

Orcid: 0000-0003-0085-2425

According to our database1, Juan Bekios-Calfa authored at least 12 papers between 2007 and 2017.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2017
A Multilabel Extension of LDA Based on the Gram-Schmidt Orthogonalization Procedure.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2015
Estimación eficiente de atributos demográficos del rostro humano en imágenes.
PhD thesis, 2015

Autonomous Robot Navigation Based on Pattern Recognition Techniques and Artificial Neural Networks.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

2014
Robust gender recognition by exploiting facial attributes dependencies.
Pattern Recognit. Lett., 2014

2013
Alignment-Free Gender Recognition in the Wild.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

2011
Revisiting Linear Discriminant Techniques in Gender Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Class-Conditional Probabilistic Principal Component Analysis: Application to Gender Recognition.
Computación y Sistemas, 2011

An introduction to AI course with guide robot programming assignments.
Proceedings of the 42nd ACM technical symposium on Computer science education, 2011

Age Regression from Soft Aligned Face Images Using Low Computational Resources.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

On the Importance of Multi-dimensional Information in Gender Estimation from Face Images.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011

2008
Apperance-Based Tracking and Face Identification in Video Sequences.
Proceedings of the Articulated Motion and Deformable Objects, 5th International Conference, 2008

2007
Automatic Construction of an Interlingual Dictionary for Multilingual Lexicography.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007


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