Francisco Escolano

Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti: Information-theoretic selection of high-dimensional spectral features for structural recognition. Computer Vision and Image Understanding 117(3): 214-228 (2013)

Miguel Angel Lozano, Francisco Escolano: Graph matching and clustering using kernel attributes. Neurocomputing 113: 177-194 (2013)

Antonio Bandera Rubio, Jorge Dias, Francisco Escolano: Scene understanding and behaviour analysis. Pattern Recognition Letters 34(7): 711-712 (2013)

Boyan Bonev, L. L. Chuang, Francisco Escolano: How do image complexity, task demands and looking biases influence human gaze behavior? Pattern Recognition Letters 34(7): 723-730 (2013)

Lin Han, Francisco Escolano, Edwin R. Hancock, Richard C. Wilson: Graph characterizations from von Neumann entropy. Pattern Recognition Letters 33(15): 1958-1967 (2012)

Antonio Peñalver, Francisco Escolano: Entropy-Based Incremental Variational Bayes Learning of Gaussian Mixtures. IEEE Trans. Neural Netw. Learning Syst. 23(3): 534-540 (2012)

Francisco Escolano, Boyan Bonev, Edwin R. Hancock: Heat Flow-Thermodynamic Depth Complexity in Directed Networks. SSPR/SPR 2012: 190-198

Juan Manuel Sáez, Francisco Escolano: 6DOF entropy minimization SLAM for stereo-based wearable devices. Computer Vision and Image Understanding 115(2): 270-285 (2011)

Edwin R. Hancock, Andrea Torsello, Francisco Escolano, Luc Brun: Special issue on Graph-Based Representations in Computer Vision. Computer Vision and Image Understanding 115(7): 903-904 (2011)

Francisco Escolano, Edwin R. Hancock: From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation. CAIP (1) 2011: 194-201

Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano: Graph matching through entropic manifold alignment. CVPR 2011: 2417-2424

Francisco Escolano, Boyan Bonev, Miguel Angel Lozano: Information-Geometric Graph Indexing from Bags of Partial Node Coverages. GbRPR 2011: 52-61

Francisco Escolano, Meizhu Liu, Edwin R. Hancock: Tensor-based total bregman divergences between graphs. ICCV Workshops 2011: 1440-1447

Pablo Suau, Francisco Escolano: Entropy Estimation and Multi-Dimensional Scale Saliency. ICPR 2010: 678-681

Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti: Information-theoretic Feature Selection from Unattributed Graphs. ICPR 2010: 930-933

Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock: Heat Flow-Thermodynamic Depth Complexity in Networks. ICPR 2010: 1578-1581

Antonio Peñalver, Francisco Escolano, Boyan Bonev: Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures. SSPR/SPR 2010: 100-108

Boyan Bonev, Francisco Escolano, Daniela Giorgi, Silvia Biasotti: High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs. SSPR/SPR 2010: 119-128

Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock, Daniela Giorgi: What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach. SSPR/SPR 2010: 286-295

Pablo Suau, Francisco Escolano: Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization. SSPR/SPR 2010: 698-707

Edwin R. Hancock, Richard C. Wilson, Terry Windeatt, Ilkay Ulusoy, Francisco Escolano (Eds.): Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings. Lecture Notes in Computer Science 6218, Springer 2010, isbn 978-3-642-14979-5

Luc Brun, Francisco Escolano: Preface. Image Vision Comput. 27(7): 835-836 (2009)

Wendy Aguilar, Yann Frauel, Francisco Escolano, M. Elena Martínez-Pérez, Arturo Espinosa-Romero, Miguel Angel Lozano: A robust Graph Transformation Matching for non-rigid registration. Image Vision Comput. 27(7): 897-910 (2009)

Miguel Angel Lozano, Francisco Escolano, Boyan Bonev, Pablo Suau, Wendy Aguilar, Juan Manuel Sáez, Miguel Cazorla: Region and constellations based categorization of images with unsupervised graph learning. Image Vision Comput. 27(7): 960-978 (2009)

Antonio Peñalver Benavent, Francisco Escolano Ruiz, Juan Manuel Sáez: Learning Gaussian Mixture Models With Entropy-Based Criteria. IEEE Transactions on Neural Networks 20(11): 1756-1771 (2009)

Pablo Suau, Francisco Escolano: A New Feasible Approach to Multi-dimensional Scale Saliency. ACIVS 2009: 77-88

Francisco Escolano, Daniela Giorgi, Edwin R. Hancock, Miguel Angel Lozano, Bianca Falcidieno: Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering. GbRPR 2009: 253-262

Rebeca Marfil, Francisco Escolano, Antonio Bandera: Graph-Based Representations in Pattern Recognition and Computational Intelligence. IWANN (1) 2009: 399-406

Miguel Angel Lozano, Francisco Escolano: Kernelization of Softassign and Motzkin-Strauss Algorithms. IWANN (1) 2009: 407-414

Andrea Torsello, Francisco Escolano, Luc Brun (Eds.): Graph-Based Representations in Pattern Recognition, 7th IAPR-TC-15 International Workshop, GbRPR 2009, Venice, Italy, May 26-28, 2009. Proceedings. Lecture Notes in Computer Science 5534, Springer 2009, isbn 978-3-642-02123-7

Pablo Suau, Francisco Escolano: Bayesian optimization of the scale saliency filter. Image Vision Comput. 26(9): 1207-1218 (2008)

Boyan Bonev, Francisco Escolano, Miguel Cazorla: Feature selection, mutual information, and the classification of high-dimensional patterns. Pattern Anal. Appl. 11(3-4): 309-319 (2008)

Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano: Birkhoff polytopes, heat kernels and graph complexity. ICPR 2008: 1-5

Pablo Suau, Francisco Escolano: Multi-dimensional Scale Saliency Feature Extraction Based on Entropic Graphs. ISVC (2) 2008: 170-180

Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano: Polytopal Graph Complexity, Matrix Permanents, and Embedding. SSPR/SPR 2008: 237-246

Wendy Aguilar, M. Elena Martínez-Pérez, Yann Frauel, Francisco Escolano, Miguel Angel Lozano, Arturo Espinosa-Romero: Graph-Based Methods for Retinal Mosaicing and Vascular Characterization. GbRPR 2007: 25-36

Boyan Bonev, Francisco Escolano, Miguel Angel Lozano, Pablo Suau, Miguel Cazorla, Wendy Aguilar: Constellations and the Unsupervised Learning of Graphs. GbRPR 2007: 340-350

Pablo Suau, Francisco Escolano: Exploiting Information Theory for Filtering the Kadir Scale-Saliency Detector. IbPRIA (2) 2007: 146-153

Francisco Escolano, Boyan Bonev, Pablo Suau, Wendy Aguilar, Yann Frauel, Juan Manuel Sáez, Miguel Cazorla: Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching. IROS 2007: 1715-1722

Jose Pascual Roda, Juan Manuel Sáez, Francisco Escolano: Ceiling mosaics through information-based SLAM. IROS 2007: 3898-3904

Boyan Bonev, Francisco Escolano, Miguel Cazorla: A Novel Information Theory Method for Filter Feature Selection. MICAI 2007: 431-440

Francisco Escolano, Mario Vento (Eds.): Graph-Based Representations in Pattern Recognition, 6th IAPR-TC-15 International Workshop, GbRPR 2007, Alicante, Spain, June 11-13, 2007, Proceedings. Lecture Notes in Computer Science 4538, Springer 2007, isbn 978-3-540-72902-0

Miguel Angel Lozano, Francisco Escolano: Protein classification by matching and clustering surface graphs. Pattern Recognition 39(4): 539-551 (2006)

Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez: Color Image Segmentation Through Unsupervised Gaussian Mixture Models. IBERAMIA-SBIA 2006: 149-158

Antonio Peñalver Benavent, Francisco Escolano Ruiz, Juan Manuel Sáez: EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models. ICPR (2) 2006: 451-455

Juan Manuel Sáez, Francisco Escolano Ruiz: 6DOF Entropy Minimization SLAM. ICRA 2006: 1548-1555

Juan Manuel Sáez, Andrew Hogue, Francisco Escolano Ruiz, Michael R. M. Jenkin: Underwater 3D SLAM through Entropy Minimization. ICRA 2006: 3562-3567

Antonio Peñalver Benavent, Francisco Escolano, Juan Manuel Sáez: Two Entropy-Based Methods for Learning Unsupervised Gaussian Mixture Models. SSPR/SPR 2006: 649-657

Miguel Angel Lozano, Francisco Escolano: Protein Classification with Kernelized Softassign. GbRPR 2005: 332-341

Miguel Angel Lozano, Francisco Escolano: Local Entropic Graphs for Globally-Consistent Graph Matching. GbRPR 2005: 342-351

Juan Manuel Sáez, Francisco Escolano Ruiz: Entropy Minimization SLAM Using Stereo Vision. ICRA 2005: 36-43

Diego Viejo, Juan Manuel Sáez, Miguel Ángel Cazorla Quevedo, Francisco Escolano: Active stereo based compact mapping. IROS 2005: 529-534

Miguel Angel Lozano, Francisco Escolano: Regularization Kernels and Softassign. CIARP 2004: 320-327

Miguel Angel Lozano, Francisco Escolano: Structural Recognition with Kernelized Softassign. IBERAMIA 2004: 626-635

Juan Manuel Sáez, Francisco Escolano Ruiz: A Global 3D Map-building Approach using Stereo Vision. ICRA 2004: 1197-1202

Miguel Angel Lozano, Francisco Escolano: A Significant Improvement of Softassign with Diffusion Kernels. SSPR/SPR 2004: 76-84

Miguel Cazorla, Francisco Escolano: Two Bayesian methods for junction classification. IEEE Transactions on Image Processing 12(3): 317-327 (2003)

Miguel Angel Lozano, Francisco Escolano: Two New Scale-Adapted Texture Descriptors for Image Segmentation. CIARP 2003: 137-144

Antonio Peñalver Benavent, Juan Manuel Sáez, Francisco Escolano: An Entropy Maximization Approach to Optimal Model Selection in Gaussian Mixtures. CIARP 2003: 432-439

Juan Manuel Sáez, Antonio Peñalver Benavent, Francisco Escolano: Compact Mapping in Plane-Parallel Environments Using Stereo Vision. CIARP 2003: 659-666

Miguel Angel Lozano, Francisco Escolano: EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching. EMMCVPR 2003: 52-67

Miguel Angel Lozano, Francisco Escolano: ACM Attributed Graph Clustering for Learning Classes of Images. GbRPR 2003: 247-258

Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo: Junction detection and grouping with probabilistic edge models and Bayesian A. Pattern Recognition 35(9): 1869-1881 (2002)

Juan Manuel Sáez, Francisco Escolano: Monte Carlo Localization in 3D Maps Using Stereo Vision. IBERAMIA 2002: 913-922

Miguel Angel Lozano, Francisco Escolano: Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching. IBERAMIA 2002: 933-942

Miguel Cazorla, Francisco Escolano, Domingo Gallardo, Ramón Rizo: Bayesian Models for Finding and Grouping Junctions. EMMCVPR 1999: 70-82

Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Faraón Llorens, Rosana Satorre, Ramón Rizo: A Combined Probabilistic Framework for Learning Gestures and Actions. IEA/AIE (Vol. 2) 1998: 658-667

Francisco Escolano, Miguel Cazorla, Domingo Gallardo, Ramón Rizo: Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences. EMMCVPR 1997: 521-534