Information theory in computer vision and pattern recognition F Escolano, P Suau, B Bonev Springer-Verlag New York Inc, 2009 | 148* | 2009 |
Constellations and the unsupervised learning of graphs B Bonev, F Escolano, MA Lozano, P Suau, MA Cazorla, W Aguilar Proceedings of the 6th IAPR-TC-15 international conference on Graph-based …, 2007 | 35 | 2007 |
Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching F Escolano, B Bonev, P Suau, W Aguilar, Y Frauel, JM Sáez, M Cazorla Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International …, 2007 | 15 | 2007 |
Aprendiendo mediante juegos: Experiencia de una competición de juegos inteligentes O Colomina, P Compañ, R Satorre, F Aznar, P Suau, R Rizo Actas de las X Jornadas de Enseñanza Universitaria de la Informática (JENUI …, 2004 | 11 | 2004 |
Robust artificial landmark recognition using polar histograms P Suau Progress in Artificial Intelligence, 455-461, 2005 | 10 | 2005 |
Manual de modelado y animación con Blender PS Pérez Universidad de Alicante, 2011 | 9 | 2011 |
Region and constellations based categorization of images with unsupervised graph learning MA Lozano, F Escolano, B Bonev, P Suau, W Aguilar, JM Saez, ... Image and Vision Computing 27 (7), 960-978, 2009 | 9 | 2009 |
Chapter 1-General Artificial Intelligence (GAIW 2005)-Adapting Hausdorff Metrics to Face Detection Systems: A Scale-Normalized Hausdorff Distance Approach P Suau Lecture Notes in Computer Science 3808, 76-86, 2005 | 9* | 2005 |
Adapting hausdorff metrics to face detection systems: A scale-normalized hausdorff distance approach P Suau Progress in Artificial Intelligence, 76-86, 2005 | 9 | 2005 |
Graph Characteristics from the Schrödinger Operator P Suau, ER Hancock, F Escolano Graph-Based Representations in Pattern Recognition, 172-181, 2013 | 8 | 2013 |
Bayesian optimization of the scale saliency filter P Suau, F Escolano Image and Vision Computing 26 (9), 1207-1218, 2008 | 8 | 2008 |
Analysis of the schrödinger operator in the context of graph characterization P Suau, ER Hancock, F Escolano Similarity-Based Pattern Recognition, 190-203, 2013 | 6 | 2013 |
Bypass information-theoretic shape similarity from non-rigid points-based alignment F Escolano, MA Lozano, B Bonev, P Suau Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE …, 2010 | 6 | 2010 |
Feature Selection and Transformation F Escolano, P Suau, B Bonev Information Theory in Computer Vision and Pattern Recognition, 211-269, 2009 | 6 | 2009 |
REAL-TIME EVALUATION CV Arnedo, MJC De Haro, FG Durán, CP Puig, PS Pérez, SC Vaíllo EDULEARN09 Proceedings, 3361-3369, 2009 | 6 | 2009 |
Evaluación en tiempo real (comunicación) MJ Castel de Haro, F Gallego Durán, C Pomares Puig, P Suau Pérez, ... Lógica Computacional, 2009 | 4 | 2009 |
A new feasible approach to multi-dimensional scale saliency P Suau, F Escolano Advanced Concepts for Intelligent Vision Systems, 77-88, 2009 | 4 | 2009 |
Multi-dimensional scale saliency feature extraction based on entropic graphs P Suau, F Escolano Advances in Visual Computing, 170-180, 2008 | 4 | 2008 |
Agent-based recognition of facial expressions P Suau, M Pujol, R Rizo, S Caton, OF Rana, B Batchelor, F Pujol Proceedings of the fourth international joint conference on Autonomous …, 2005 | 3 | 2005 |
Selection of an automated morphological gradient threshold for image segmentation. Application to vision-based path planning F Pujol, P Suau, M Pujol, R Rizo, M Pujol Advances in Artificial Intelligence–IBERAMIA 2004, 667-676, 2004 | 3 | 2004 |