Marcello Pelillo

According to our database1, Marcello Pelillo authored at least 179 papers between 1991 and 2020.

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Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to graph-theoretic and optimization-based approaches in pattern recognition and computer vision".

Timeline

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Bibliography

2020
Protein function prediction as a graph-transduction game.
Pattern Recognit. Lett., 2020

Two sides of the same coin: Improved ancient coin classification using Graph Transduction Games.
Pattern Recognit. Lett., 2020

Separating Structure from Noise in Large Graphs Using the Regularity Lemma.
Pattern Recognit., 2020

Biclustering with dominant sets.
Pattern Recognit., 2020

A Functional Representation for Graph Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Incremental hashing with sample selection using dominant sets.
Int. J. Mach. Learn. Cybern., 2020

Multi-feature fusion for image retrieval using constrained dominant sets.
Image Vis. Comput., 2020

Transductive Visual Verb Sense Disambiguation.
CoRR, 2020

DSLib: An open source library for the dominant set clustering method.
CoRR, 2020

Asymmetric Siamese Networks for Semantic Change Detection.
CoRR, 2020

A Black-box Adversarial Attack for Poisoning Clustering.
CoRR, 2020

Efficient Tensor Kernel methods for sparse regression.
CoRR, 2020

The Group Loss for Deep Metric Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Hypergraph isomorphism using association hypergraphs.
Pattern Recognit. Lett., 2019

Large-Scale Image Geo-Localization Using Dominant Sets.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Dominant Sets for "Constrained" Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Multi-target Tracking in Multiple Non-overlapping Cameras Using Fast-Constrained Dominant Sets.
Int. J. Comput. Vis., 2019

Unsupervised Domain Adaptation using Graph Transduction Games.
Proceedings of the International Joint Conference on Neural Networks, 2019

Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Deep Constrained Dominant Sets for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
DeepScores and Deep Watershed Detection: current state and open issues.
CoRR, 2018

Ancient Coin Classification Using Graph Transduction Games.
CoRR, 2018

A Graph Transduction Game for Multi-target Tracking.
CoRR, 2018

On Association Graph Techniques for Hypergraph Matching.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Game- Theoretic Hyper-Graph Matching Algorithm.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Speaker Clustering Using Dominant Sets.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Transductive Label Augmentation for Improved Deep Network Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18).
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Characterization of Visual Object Representations in Rat Primary Visual Cortex.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

DOTA: A Large-Scale Dataset for Object Detection in Aerial Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Randomized Prediction Games for Adversarial Machine Learning.
IEEE Trans. Neural Networks Learn. Syst., 2017

Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition.
Pattern Recognit. Lett., 2017

Dominant-set clustering: A review.
Eur. J. Oper. Res., 2017

Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets.
CoRR, 2017

A Game-Theoretic Approach to Word Sense Disambiguation.
Comput. Linguistics, 2017

A Computer Vision System for Monitoring Ice-Cream Freezers.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

A Computer Vision System for the Automatic Inventory of a Cooler.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

On the Interplay Between Strong Regularity and Graph Densification.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2017

Dominant Set Biclustering.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Guest Editorial Special Section on Learning in Non-(geo)metric Spaces.
IEEE Trans. Neural Networks Learn. Syst., 2016

Multi-object tracking using dominant sets.
IET Comput. Vis., 2016

Detecting conversational groups in images and sequences: A robust game-theoretic approach.
Comput. Vis. Image Underst., 2016

Document Clustering Games in Static and Dynamic Scenarios.
Proceedings of the Pattern Recognition Applications and Methods, 2016

Document Clustering Games.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Simultaneous clustering and outlier detection using dominant sets.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Constrained dominant sets for retrieval.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Context aware nonnegative matrix factorization clustering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A new density kernel in density peak based clustering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Interactive Image Segmentation Using Constrained Dominant Sets.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Pattern recognition between science and engineering: A red herring?
Pattern Recognit. Lett., 2015

Special issue on "Philosophical Aspects of Pattern Recognition".
Pattern Recognit. Lett., 2015

A matrix factorization approach to graph compression with partial information.
Int. J. Mach. Learn. Cybern., 2015

Probabilistic consensus clustering using evidence accumulation.
Mach. Learn., 2015

Dominant-Set Clustering Using Multiple Affinity Matrices.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

Similarity Analysis from Limiting Quantum Walks.
Proceedings of the Similarity-Based Pattern Recognition - Third International Workshop, 2015

WSD-games: a Game-Theoretic Algorithm for Unsupervised Word Sense Disambiguation.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Towards a Holistic Theory of Pattern Recognition - A Game-theoretic Perspective.
Proceedings of the ICPRAM 2015, 2015

Path-Based Dominant-Set Clustering.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

En Plein Air Visual Agents.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Using dominant sets for data association in multi-camera tracking.
Proceedings of the 9th International Conference on Distributed Smart Camera, 2015

2014
Clustering Games.
Proceedings of the Registration and Recognition in Images and Videos, 2014

Alhazen and the nearest neighbor rule.
Pattern Recognit. Lett., 2014

Structured Labels in Random Forests for Semantic Labelling and Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Poisoning Complete-Linkage Hierarchical Clustering.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

A Matrix Factorization Approach to Graph Compression.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
A Game-Theoretic Approach to Pairwise Clustering and Matching.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Introduction: The SIMBAD Project.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

A simple feature combination method based on dominant sets.
Pattern Recognit., 2013

A Game-Theoretic Approach to Hypergraph Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Italian Machine Learning and Data Mining research: The last years.
Intelligenza Artificiale, 2013

Correlation Clustering with Stochastic Labellings.
Proceedings of the Similarity-Based Pattern Recognition - Second International Workshop, 2013

A MAP Approach to Evidence Accumulation Clustering.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Probabilistic Evidence Accumulation for Clustering Ensembles.
Proceedings of the ICPRAM 2013, 2013

Using Dominant Sets for k-NN Prototype Selection.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Consensus Clustering Using Partial Evidence Accumulation.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Consensus Clustering with Robust Evidence Accumulation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

Dominant Set Approach to ECG Biometrics.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Is data clustering in adversarial settings secure?
Proceedings of the AISec'13, 2013

How Mature Is the Field of Machine Learning?
Proceedings of the AI*IA 2013: Advances in Artificial Intelligence, 2013

2012
Graph Transduction as a Noncooperative Game.
Neural Comput., 2012

Evolutionary Hough Games for coherent object detection.
Comput. Vis. Image Underst., 2012

On the Relation between the Common Labelling and the Median Graph.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Context-Sensitive Decision Forests for Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Computing the graph edit distance using dominant sets.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Structured Local Predictors for image labelling.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Content-based image retrieval with relevance feedback using random walks.
Pattern Recognit., 2011

Graph-based quadratic optimization: A fast evolutionary approach.
Comput. Vis. Image Underst., 2011

Structured class-labels in random forests for semantic image labelling.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Graph Transduction as a Non-cooperative Game.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2011

Semantic Image Labelling as a Label Puzzle Game.
Proceedings of the British Machine Vision Conference, 2011

2010
A New Spectral Bound on the Clique Number of Graphs.
Proceedings of the Structural, 2010

Pairwise Probabilistic Clustering Using Evidence Accumulation.
Proceedings of the Structural, 2010

Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems.
Proceedings of the Structural, 2010

Probabilistic Clustering Using the Baum-Eagon Inequality.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Replicator Dynamics in Combinatorial Optimization.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Heuristics for Maximum Clique and Independent Set.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

A generalization of the Motzkin-Straus theorem to hypergraphs.
Optim. Lett., 2009

A game-theoretic approach to partial clique enumeration.
Image Vis. Comput., 2009

From Cliques to Equilibria: The Dominant-Set Framework for Pairwise Data Clustering.
Proceedings of the Pattern Recognition in Information Systems, 2009

New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

Matching as a non-cooperative game.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2008
Consensus Graphs for Symmetry Plane Estimation.
Proceedings of the Structural, 2008

Beyond partitions: Allowing overlapping groups in pairwise clustering.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A hypergraph-based approach to affine parameters estimation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Dominant Sets and Pairwise Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs.
Proceedings of the Learning and Intelligent Optimization, Second International Conference, 2007

Integrating Boundary Information in Pairwise Segmentation.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

Matching Relational Structures using the Edge-Association Graph.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

A Continuous-Based Approach for Partial Clique Enumeration.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2007

Szemerédi's Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

2006
Similarity-based pattern recognition.
Pattern Recognit., 2006

Payoff-Monotonic Game Dynamics and the Maximum Clique Problem.
Neural Comput., 2006

Graph polynomials from principal pivoting.
Discret. Math., 2006

Grouping with Asymmetric Affinities: A Game-Theoretic Perspective.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Polynomial-Time Metrics for Attributed Trees.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Spatio-temporal Segmentation Using Dominant Sets.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

2004
Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

The combinatorics of pivoting for the maximum weight clique.
Oper. Res. Lett., 2004

Metrics For Attributed Graphs Based On The Maximal Similarity Common Subgraph.
Int. J. Pattern Recognit. Artif. Intell., 2004

Matching Segmentation Hierarchies.
Int. J. Pattern Recognit. Artif. Intell., 2004

Fast Dominant-Set Clustering.
Proceedings of the Biological and Artificial Intelligence Environments, 2004

Efficient Out-of-Sample Extension of Dominant-Set Clusters.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Four Metrics for Efficiently Comparing Attributed Trees.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Relaxation Labeling Processes for Protein Secondary Structure Prediction.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Efficiently Segmenting Images with Dominant Sets.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

A Polynomial-Time Metric for Attributed Trees.
Proceedings of the Computer Vision, 2004

2003
Matching graphs by pivoting.
Pattern Recognit. Lett., 2003

Image Segmentation by Dominant Sets.
Electron. Notes Discret. Math., 2003

Unsupervised texture segmentation by dominant sets and game dynamics.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

Hierarchical matching of panoramic images.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

Dominant Sets and Hierarchical Clustering.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Graph Polynomials, Principal Piovoting, and Maximum Independent Sets.
Proceedings of the Graph Based Representations in Pattern Recognition, 2003

Swap Strategies for Graph Matching.
Proceedings of the Graph Based Representations in Pattern Recognition, 2003

Generalizing the Motzkin-Straus Theorem to Edge-Weighted Graphs, with Applications to Image Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

Graph-Theoretic Approach to Clustering and Segmentation.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

Pairwise Data Clustering Using Monotone Game Dynamics.
Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002
A Complementary Pivoting Approach to the Maximum Weight Clique Problem.
SIAM J. Optim., 2002

Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Annealed replication: a new heuristic for the maximum clique problem.
Discret. Appl. Math., 2002

2001
Introduction to the Special Section on Graph Algorithms in Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Payoff-monotonic Game Dynamics for the Maximum Clique Problem.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Matching Free Trees with Replicator Equations.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Many-to-many Matching of Attributed Trees Using Association Graphs and Game Dynamics.
Proceedings of the Visual Form 2001, 4th International Workshop on Visual Form, 2001

Evolutionary Game Dynamics in Combinatorial Optimization: An Overview.
Proceedings of the Applications of Evolutionary Computing, 2001

A Complementary Pivoting Approach to Graph Matching.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

2000
Approximating the maximum weight clique using replicator dynamics.
IEEE Trans. Neural Networks Learn. Syst., 2000

Continuous-time relaxation labeling processes.
Pattern Recognit., 2000

A New Deterministic Annealing Algorithm for Maximum Clique.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Attributed Tree Homomorphism Using Association Graphs.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Matching Hierarchical Structures Using Association Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

Replicator Equations, Maximal Cliques, and Graph Isomorphism.
Neural Comput., 1999

Attributed Tree Matching and Maximum Weight Cliques.
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999

The Maximum Clique Problem.
Proceedings of the Handbook of Combinatorial Optimization, 1999

1998
A Bayesian interpretation for the exponential correlation associative memory.
Pattern Recognit. Lett., 1998

A unifying framework for relational structure matching.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997
An iterative pruning algorithm for feedforward neural networks.
IEEE Trans. Neural Networks, 1997

Autoassociative learning in relaxation labeling networks.
Pattern Recognit. Lett., 1997

The Dynamics of Nonlinear Relaxation Labeling Processes.
J. Math. Imaging Vis., 1997

1996
A Relaxation Algorithm for Estimating the Domain of Validity of Feedforward Neural Networks.
Neural Process. Lett., 1996

Parallelizable Evolutionary Dynamics Principles for Solving the Maximum Clique Problem.
Proceedings of the Parallel Problem Solving from Nature, 1996

An analysis of the exponential correlation associative memory.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
An evolutionary approach to training relaxation labeling processes.
Pattern Recognit. Lett., 1995

Iterative pruning in second-order recurrent neural networks.
Neural Process. Lett., 1995

Teaching Relaxation Labeling Processes Using Genetic Algorithms.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995

An asymmetric associative memory model based on relaxation labeling processes.
Proceedings of the ESANN 1995, 1995

Clique Finding Relaxation Labeling Networks.
Proceedings of the Recent Developments in Computer Vision, 1995

1994
Learning Compatibility Coefficients for Relaxation Labeling Processes.
IEEE Trans. Pattern Anal. Mach. Intell., 1994

Nonlinear relaxation labeling as growth transformation.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
A Method of Pruning Layered Feed-Forward Neural Networks.
Proceedings of the New Trends in Neural Computation, 1993

Evolutionary Learning for Relaxation Labeling Processes.
Proceedings of the Advances in Artificial Intelligence, 1993

1992
Learning compatibility coefficients for word-class disambiguation relaxation processes.
Proceedings of the Second International Conference on Spoken Language Processing, 1992

Probabilistic prediction of parts-of-speech from word spelling using decision trees.
Proceedings of the Second International Conference on Spoken Language Processing, 1992

An optimization algorithm for determining the compatibility coefficients of relaxation labeling processes.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991
Syntactic category disambiguation through relaxation processes.
Proceedings of the Second European Conference on Speech Communication and Technology, 1991


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