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George Azzopardi

Showing results (1-10 of 18) with videos related to

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Biological Cybernetics|April 25, 2012
A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function modelGeorge Azzopardi, Nicolai Petkov
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 16, 2012
Trainable COSFIRE filters for keypoint detection and pattern recognitionGeorge Azzopardi, Nicolai Petkov
Frontiers in Computational Neuroscience|August 16, 2014
Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE modelsGeorge Azzopardi, Nicolai Petkov
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 28, 2019
Robust Inhibition-Augmented Operator for Delineation of Curvilinear StructuresNicola Strisciuglio, George Azzopardi, Nicolai Petkov
The Science of the Total Environment|February 4, 2019
Identification of possible Δ<sup>14</sup>C anomalies since 14 ka BP: A computational intelligence approachAndreas Neocleous, George Azzopardi, Michael Dee
Frontiers in Robotics and AI|January 27, 2021
Elderly Fall Detection Systems: A Literature SurveyXueyi Wang, Joshua Ellul, George Azzopardi
Medical Image Analysis|September 22, 2014
Trainable COSFIRE filters for vessel delineation with application to retinal imagesGeorge Azzopardi, Nicola Strisciuglio, Mario Vento, et al.
Plos One|July 25, 2014
A push-pull CORF model of a simple cell with antiphase inhibition improves SNR and contour detectionGeorge Azzopardi, Antonio Rodríguez-Sánchez, Justus Piater, et al.
Frontiers in Robotics and AI|April 5, 2021
Editorial: Autonomous Health Monitoring and Assistance Systems With IoTGeorge Azzopardi, Dimka Karastoyanova, Marco Aiello, et al.
International Journal of Sports Physiology and Performance|May 1, 2021
Injury Prediction in Competitive Runners With Machine LearningS Sofie Lövdal, Ruud J R Den Hartigh, George Azzopardi
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
Biological Cybernetics|April 25, 2012
A CORF computational model of a simple cell that relies on LGN input outperforms the Gabor function modelGeorge Azzopardi, Nicolai Petkov
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 16, 2012
Trainable COSFIRE filters for keypoint detection and pattern recognitionGeorge Azzopardi, Nicolai Petkov
Frontiers in Computational Neuroscience|August 16, 2014
Ventral-stream-like shape representation: from pixel intensity values to trainable object-selective COSFIRE modelsGeorge Azzopardi, Nicolai Petkov
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 28, 2019
Robust Inhibition-Augmented Operator for Delineation of Curvilinear StructuresNicola Strisciuglio, George Azzopardi, Nicolai Petkov
The Science of the Total Environment|February 4, 2019
Identification of possible Δ<sup>14</sup>C anomalies since 14 ka BP: A computational intelligence approachAndreas Neocleous, George Azzopardi, Michael Dee
Frontiers in Robotics and AI|January 27, 2021
Elderly Fall Detection Systems: A Literature SurveyXueyi Wang, Joshua Ellul, George Azzopardi
Medical Image Analysis|September 22, 2014
Trainable COSFIRE filters for vessel delineation with application to retinal imagesGeorge Azzopardi, Nicola Strisciuglio, Mario Vento, et al.
Plos One|July 25, 2014
A push-pull CORF model of a simple cell with antiphase inhibition improves SNR and contour detectionGeorge Azzopardi, Antonio Rodríguez-Sánchez, Justus Piater, et al.
Frontiers in Robotics and AI|April 5, 2021
Editorial: Autonomous Health Monitoring and Assistance Systems With IoTGeorge Azzopardi, Dimka Karastoyanova, Marco Aiello, et al.
International Journal of Sports Physiology and Performance|May 1, 2021
Injury Prediction in Competitive Runners With Machine LearningS Sofie Lövdal, Ruud J R Den Hartigh, George Azzopardi
Pageof 2