Francisco Escolano

CoRR, 2023

2022

OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DiffWire: Inductive Graph Rewiring via the Lovász Bound.

[BibT_eX]

[DOI]

Adrián Arnaiz-Rodríguez

Ahmed Begga

Miguel Ángel García-March

Proceedings of the Learning on Graphs Conference, 2022

Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge (Extended Abstract).

[BibT_eX]

[DOI]

J. Alberto Conejero

Miguel Ángel García-March

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Algorithmic Censorship of Art: A Proposed Research Agenda.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

2021

Network embedding from the line graph: Random walkers and boosted classification.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Open Data Science to Fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge.

[BibT_eX]

[DOI]

J. Alberto Conejero

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020

An efficient, dense and long-range marker system for the guidance of the visually impaired.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2020

Seeking affinity structure: Strategies for improving m-best graph matching.

[BibT_eX]

[DOI]

Inf. Sci., 2020

Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor.

[BibT_eX]

[DOI]

Entropy, 2020

The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

On learning Random Forests for Random Forest-clustering.

[BibT_eX]

[DOI]

Manuele Bicego

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Dirichlet densifier bounds: Densifying beyond the spectral gap constraint.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Dirichlet densifiers for improved commute times estimation.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Network Embedding by Walking on the Line Graph.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2019

2018

Dirichlet Densifiers: Beyond Constraining the Spectral Gap.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

Semi-supervised Graph Rewiring with the Dirichlet Principle.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Graph Similarity through Entropic Manifold Alignment.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2017

The mutual information between graphs.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

On the Interplay Between Strong Regularity and Graph Densification.

[BibT_eX]

[DOI]

Marco Fiorucci

Alessandro Torcinovich

Manuel Curado

Marcello Pelillo

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Shape Simplification Through Graph Sparsification.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Bragg Diffraction Patterns as Graph Characteristics.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016

Depth-based hypergraph complexity traces from directed line graphs.

[BibT_eX]

[DOI]

Lu Bai

Pattern Recognit., 2016

Dirichlet Graph Densifiers.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Commute Times in Dense Graphs.

[BibT_eX]

[DOI]

Manuel Curado

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

An edge-based matching kernel on commute-time spanning trees.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Aerial Obstacle Detection With 3-D Mobile Devices.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2015

Recognition and action for scene understanding.

[BibT_eX]

[DOI]

Rebeca Marfil

Jorge Dias

Neurocomputing, 2015

Introduction to the Special issue on "Future trends in robotics and autonomous techniques".

[BibT_eX]

[DOI]

Ankit Chaudhary

Anand Bhojan

Comput. Electr. Eng., 2015

Similarity Analysis from Limiting Quantum Walks.

[BibT_eX]

[DOI]

Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Skeletal Graphs from Schrödinger Magnitude and Phase.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

2014

Quantum vs Classical Ranking in Segment Grouping.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

The Mutual Information between Graphs.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Scene understanding and behaviour analysis.

[BibT_eX]

[DOI]

Antonio Bandera Rubio

Jorge Dias

Pattern Recognit. Lett., 2013

How do image complexity, task demands and looking biases influence human gaze behavior?

[BibT_eX]

[DOI]

Lewis L. Chuang

Pattern Recognit. Lett., 2013

Graph matching and clustering using kernel attributes.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Information-theoretic selection of high-dimensional spectral features for structural recognition.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2013

Analysis of the Schrödinger Operator in the Context of Graph Characterization.

[BibT_eX]

[DOI]

Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Information-Theoretic Dissimilarities for Graphs.

[BibT_eX]

[DOI]

Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

Graph Characteristics from the Schrödinger Operator.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

TurboTensors for Entropic Image Comparison.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

Complexity Fusion for Indexing Reeb Digraphs.

[BibT_eX]

[DOI]

Silvia Biasotti

Proceedings of the Computer Analysis of Images and Patterns, 2013

2012

Entropy-Based Incremental Variational Bayes Learning of Gaussian Mixtures.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

Graph characterizations from von Neumann entropy.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2012

Heat Flow-Thermodynamic Depth Complexity in Directed Networks.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

2011

6DOF entropy minimization SLAM for stereo-based wearable devices.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2011

Special issue on Graph-Based Representations in Computer Vision.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2011

Tensor-based total bregman divergences between graphs.

[BibT_eX]

[DOI]

Meizhu Liu

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Information-Geometric Graph Indexing from Bags of Partial Node Coverages.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

Graph matching through entropic manifold alignment.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2011

2010

Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2010

Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2010

What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2010

High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2010

Entropy Estimation and Multi-Dimensional Scale Saliency.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Heat Flow-Thermodynamic Depth Complexity in Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Information-theoretic Feature Selection from Unattributed Graphs.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Bypass information-theoretic shape similarity from non-rigid points-based alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Learning Gaussian Mixture Models With Entropy-Based Criteria.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Region and constellations based categorization of images with unsupervised graph learning.

[BibT_eX]

[DOI]

Image Vis. Comput., 2009

Preface.

[BibT_eX]

[DOI]

Luc Brun

Image Vis. Comput., 2009

A robust Graph Transformation Matching for non-rigid registration.

[BibT_eX]

[DOI]

Wendy Aguilar

Yann Frauel

M. Elena Martínez-Pérez

Arturo Espinosa-Romero

Image Vis. Comput., 2009

Graph-Based Representations in Pattern Recognition and Computational Intelligence.

[BibT_eX]

[DOI]

Rebeca Marfil

Antonio Bandera

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Kernelization of Softassign and Motzkin-Strauss Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2009

A New Feasible Approach to Multi-dimensional Scale Saliency.

[BibT_eX]

[DOI]

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2009

2008

Feature selection, mutual information, and the classification of high-dimensional patterns.

[BibT_eX]

[DOI]

Miguel Cazorla

Pattern Anal. Appl., 2008

Bayesian optimization of the scale saliency filter.

[BibT_eX]

[DOI]

Image Vis. Comput., 2008

Polytopal Graph Complexity, Matrix Permanents, and Embedding.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2008

Multi-dimensional Scale Saliency Feature Extraction Based on Entropic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008

Birkhoff polytopes, heat kernels and graph complexity.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

A Novel Information Theory Method for Filter Feature Selection.

[BibT_eX]

[DOI]

Miguel Cazorla

Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007

Ceiling mosaics through information-based SLAM.

[BibT_eX]

[DOI]

Jose Pascual Roda

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Contextual visual localization: cascaded submap classification, optimized saliency detection, and fast view matching.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Exploiting Information Theory for Filtering the Kadir Scale-Saliency Detector.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

Constellations and the Unsupervised Learning of Graphs.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

Graph-Based Methods for Retinal Mosaicing and Vascular Characterization.

[BibT_eX]

[DOI]

Wendy Aguilar

M. Elena Martínez-Pérez

Yann Frauel

Arturo Espinosa-Romero

Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

2006

Protein classification by matching and clustering surface graphs.

[BibT_eX]

[DOI]

Pattern Recognit., 2006

Two Entropy-Based Methods for Learning Unsupervised Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

6DOF Entropy Minimization SLAM.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

Underwater 3D SLAM through Entropy Minimization.

[BibT_eX]

[DOI]

Andrew Hogue

Michael R. M. Jenkin

Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Color Image Segmentation Through Unsupervised Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2006

2005

Active stereo based compact mapping.

[BibT_eX]

[DOI]

Diego Viejo

Miguel Ángel Cazorla Quevedo

Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Entropy Minimization SLAM Using Stereo Vision.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Local Entropic Graphs for Globally-Consistent Graph Matching.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2005

Protein Classification with Kernelized Softassign.

[BibT_eX]

[DOI]

Proceedings of the Graph-Based Representations in Pattern Recognition, 2005

First Steps towards Stereo-based 6DOF SLAM for the Visually Impaired.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2004

A Significant Improvement of Softassign with Diffusion Kernels.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2004

A Global 3D Map-building Approach using Stereo Vision.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Structural Recognition with Kernelized Softassign.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2004

Regularization Kernels and Softassign.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, 2004

2003

Two Bayesian methods for junction classification.

[BibT_eX]

[DOI]

Miguel Cazorla

IEEE Trans. Image Process., 2003

ACM Attributed Graph Clustering for Learning Classes of Images.

[BibT_eX]

[DOI]

Proceedings of the Graph Based Representations in Pattern Recognition, 2003

EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

Compact Mapping in Plane-Parallel Environments Using Stereo Vision.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, 2003

An Entropy Maximization Approach to Optimal Model Selection in Gaussian Mixtures.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, 2003

Two New Scale-Adapted Texture Descriptors for Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, 2003

2002

Junction detection and grouping with probabilistic edge models and Bayesian A.

[BibT_eX]

[DOI]

Pattern Recognit., 2002

Monte Carlo Localization in 3D Maps Using Stereo Vision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2002

Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching.

[BibT_eX]

[DOI]