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Author
Title
Year
Publication
Volume
Pages
Links
Daniel Ponsa; Antonio Lopez
Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion
2007
3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477
47-54
Monica Piñol; Angel Sappa; Angeles Lopez; Ricardo Toledo
Feature Selection Based on Reinforcement Learning for Object Recognition
2012
Adaptive Learning Agents Workshop
33-39
Juan A. Carvajal Ayala; Dennis Romero; Angel Sappa
Fine-tuning based deep convolutional networks for lepidopterous genus recognition
2016
21st Ibero American Congress on Pattern Recognition
467-475
Jose Manuel Alvarez; Felipe Lumbreras; Theo Gevers; Antonio Lopez
Geographic Information for vision-based Road Detection
2010
IEEE Intelligent Vehicles Symposium
621–626
Santi Puch; Irina Sanchez; Aura Hernandez-Sabate; Gemma Piella; Vesna Prckovska
Global Planar Convolutions for Improved Context Aggregation in Brain Tumor Segmentation
2018
International MICCAI Brainlesion Workshop
11384
393-405
Daniel Hernandez; Antonio Espinosa; David Vazquez; Antonio Lopez; Juan Carlos Moure
GPU-accelerated real-time stixel computation
2017
IEEE Winter Conference on Applications of Computer Vision
1054-1062
Victor Campmany; Sergio Silva; Juan Carlos Moure; Toni Espinosa; David Vazquez; Antonio Lopez
GPU-based pedestrian detection for autonomous driving
2016
GPU Technology Conference
Victor Campmany; Sergio Silva; Antonio Espinosa; Juan Carlos Moure; David Vazquez; Antonio Lopez
GPU-based pedestrian detection for autonomous driving
2016
16th International Conference on Computational Science
80
2377-2381
David Geronimo; Antonio Lopez; Daniel Ponsa; Angel Sappa
Haar Wavelets and Edge Orientation Histograms for On-Board Pedestrian Detection
2007
3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477
1
418–425
Josep M. Gonfaus; Xavier Boix; Joost Van de Weijer; Andrew Bagdanov; Joan Serrat; Jordi Gonzalez
Harmony Potentials for Joint Classification and Segmentation
2010
23rd IEEE Conference on Computer Vision and Pattern Recognition
3280–3287
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