Alexandre, Luís

Personal Information:

Position: Professor
Research Area: Uncategorized

Publications

  • H. Proença and L. Alexandre. "On the Segmentation of Visible Wavelength Iris Images Acquired At-a-Distance and On-the-Move", Elsevier Image and Vision Computing, Vol. 28. 2010. [More] 
  • H. Proença, S. Filipe, R. Santos, J. P. Oliveira and L. Alexandre. "The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-The-Move and At-A-Distance", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 32, August, 2010, pp. 1529-1535. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: Analysis of the Error Rates Regarding the Accuracy of the Segmentation Stage", Elsevier Image and Vision Computing, Vol. 28, January, 2010, pp. 202-206. [More] 
  • H. Proença and L. Alexandre. "Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move", Elsevier Image and Vision Computing, Vol. 28, February, 2010, pp. 213-214. [More] 
  • L. Alexandre. "Gender recognition: a multiscale decision fusion approach", Elsevier Pattern Recognition Letters, Vol. 31, August, 2010, pp. 1422-1427. [More] 
  • C. Padole and L. Alexandre. "Wigner Distribution based Motion Tracking of Human Beings using Thermal Imaging". 7th IEEE Workshop on Object Tracking and Classification Beyond and in the Visible Spectrum (In conjunction with IEEE CVPR 2010). 2010. pp. ?-?. [More] 
  • L. M. Silva, J. P. de Sá and L. Alexandre. "The MEE Principle in Data Classification: A Perceptron-Based Analysis", Neural Computation, MIT Press, Vol. 22, October, 2010, pp. 2698-2728. [More] 
  • C. Padole and L. Alexandre. "Motion based Particle Filter for Human Tracking with Thermal Imaging". Third International conference on Emerging Trends in Engineering & Technology. 2010. [More] 
  • S. Filipe and L. Alexandre. "Improving Face Segmentation in Thermograms Using Image Signatures". 15th Iberoamerican Congress on Pattern Recognition (CIARP 2010). I. Bloch and R. Cesar eds. 2010. pp. 402-409. [More] 
  • M. J. Embrechts and L. Alexandre. "Reservoir computing for static pattern recognition". 17th European Symposium on Artificial Neural Networks - ESANN 2009. 2009. pp. 245-250. [More] 
  • L. Alexandre, M. J. Embrechts and J. Linton. "Benchmarking Reservoir Computing on Time-Independent Classification Tasks". International Joint Conference on Artificial Neural Networks - IJCNN 2009. 2009. pp. 89-93. [More] 
  • R. Santos and L. Alexandre. "Improving Spectroface using Pre-processing and Voting". IEEE International Conference on Intelligent Computing and Intelligent Systems - ICIS 2009. 2009. pp. 552-556. [More] 
  • J. P. de Sá, J. Gama, R. Sebastião and L. Alexandre. "Decision Trees Using the Minimum Entropy-of-Error Principle". 13th International Conference on Computer Analysis of Images and Patterns - CAIP 2009. 2009. pp. 779-807. [More] 
  • L. Alexandre and M. J. Embrechts. "Reservoir size, spectral radius and connectivity in static classification problems". 19th International Conference on Artificial Neural Networks - ICANN 2009. 2009. pp. 1015-1024. [More] 
  • L. Alexandre, N. Nobre and J. Casteleiro. "Color and Position versus Texture Features for Endoscopic Polyp Detection". The International Conference on BioMedical Engineering and Informatics (BMEI2008). 2008. pp. 38-42. [More] 
  • L. Batista and L. Alexandre. "Text Pre-processing for Lossless Compression". IEEE Data Compression Conference, DCC 2008. 2008. pp. 506. [More] 
  • L. M. Silva, J. P. de Sá and L. Alexandre. "Data Classification with Multilayer Perceptrons using a Generalized Error Function", Elsevier Neural Networks, Vol. 21, November, 2008, pp. 1302-1310. [More] 
  • L. Alexandre. "Maximizing the Zero-Error Density for RTRL". 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008. 2008. [More] 
  • J. marques de Sá, L. Alexandre, W. Buch and D. Mandic. Artificial Neural Networks - ICANN 2007, Part II, Porto, Portugal : Springer Lecture Notes in Computer Science, 2007. [More] 
  • J. M. de Sá, L. Alexandre, W. Duch and D. Mandic. Artificial Neural Networks - ICANN 2007, Part I, vol. 4668, Porto, Portugal : Springer Lecture Notes in Computer Science, 2007. [More] 
  • L. Alexandre, J. Casteleiro and N. Nobre. "Polyp Detection in Endoscopic Video using SVMs". 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD. 2007. pp. 358-365. [More] 
  • H. Proença and L. Alexandre. "Toward Non-Cooperative Iris Recognition: A Classification Approach Using Multiple Signatures", IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue on Biometrics, Vol. 9, July, 2007, pp. 607-612. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments". Springer Lecture Notes in Computer Science – ISVC 2007: 3rd International Symposium on Visual Computing. 2007. pp. 621-632. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: A Method to Increase the Robustness to Noisy Imaging Environments Through the Selection of the Higher Discriminating Features". IEEE Proceedings of the International Conference on Computational Intelligence and Multimedia Applications - ICCIMA'07. 2007. pp. 301-307. [More] 
  • H. Proença and L. Alexandre. "The NICE.I: Noisy Iris Challenge Evaluation – Part I". Proceedings of the IEEE First International Conference on Biometrics: Theory, Applications and Systems – BTAS 2007. 2007. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: Measuring Feature’s Quality for the Feature Selection in Unconstrained Image Capture Environments". IEEE Proceedings of the 2006 International Conference on Computational Intelligence for Homeland Security and Personal Safety - CIHSPS 2006. 2006. pp. 35-40. [More] 
  • H. Proença and L. Alexandre. "Iris Recognition: An Analysis of the Aliasing Problem in the Iris Normalization Stage". IEEE Proceedings of the 2006 International Conference on Computational Intelligence and Security - CIS 2006. 2006. pp. 1771-1774. [More] 
  • H. Proença and L. Alexandre. "A Method for the Identification of Noisy Regions in Normalized Iris Images". IEEE Proceedings of the 18th International Conference on Pattern Recognition - ICPR 2006. 2006. pp. 405-408. [More] 
  • H. Proença and L. Alexandre. "A Method for the Identification of Inaccuracies in the Pupil Segmentation". IEEE Proceedings of the First International Conference on Availability, Reliability and Security - AReS 2006. 2006. pp. 227-230. [More] 
  • C. Pereira, L. Alexandre, A. M. Mendonça and A. Campilho. "A multiclassifier approach for lung nodule classification". International Conference on Image Analysis and Recognition - ICIAR 2006. 2006. pp. 612-623. [More] 
  • H. Proença and L. Alexandre. "An iris segmentation methodology for non-cooperative recognition", IEE Proc. Vision, Image & Signal Processing, Vol. 153, April, 2006, pp. 199-205. [More] 
  • L. M. Silva, C. A. Felgueiras, L. Alexandre and J. M. de Sá. "Error Entropy in Classification Problems: A Univariate Data Analysis", Neural Computation, Vol. 18. 2006, pp. 2036-2061. [More] 
  • J. Santos, L. Alexandre and J. M. de Sá. "Modular Neural Network Task Decomposition Via Entropic Clustering". 6th International Conference on Intelligent Systems Design and Applications - ISDA'06. 2006. pp. 62-67. [More] 
  • L. M. Silva and L. Alexandre. "New developments of the Z-EDM algorithm". 6th International Conference on Intelligent Systems Design and Applications - ISDA'06. 2006. pp. 1067-1072. [More] 
  • L. Alexandre and J. M. de Sá. "Error Entropy Minimization for LSTM training". 16th International Conference on Artificial Neural Networks - ICANN 2006. 2006. pp. 244-253. [More] 
  • H. Proença and L. Alexandre. "UBIRIS: A noisy iris image database". 13th International Conference on Image Analysis and Processing - ICIAP. 2005. pp. 970-977. [More] 

Projects

 

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