Home > Ateneo > Organizzazione > Dipartimenti > Dipartimento di Scienze Ambientali, Informatica e Statistica > Dipartimento di Scienze Ambientali, Informatica e Statistica > Persone > Ricerca Persone

Ricerca Persone

Cognome/Nome

Telefono/Fax:

Email

PELILLO Marcello

Feed RSS Feed RSS degli avvisi personali

 

Al momento non ci sono avvisi

 

martedì 11.00-13.00

Attività e competenze di ricerca

Settore Scientifico Disciplinare (SSD) di afferenza
Settore Scientifico Disciplinare (SSD) affine
Aree e linee di ricerca

Competenze di ricerca

L’attività di ricerca riguarda lo sviluppo di sistemi di apprendimento automatico, di elaborazione delle immagini e di “visione artificiale”.

Parole Chiave
  • Computer technology, Image processing, Knowledge technology

Ricerche sviluppate e in corso

Similarity-based pattern analysis and recognition

SSD
  • INF/01

Structural methods in computer vision and pattern recognition

SSD
  • INF/01

Game-theoretic models in machine learning

SSD
  • INF/01
Altri membri del gruppo di ricerca

Fruizione multimediale dell'opera d'arte contemporanea


Digital Humanities

SSD
  • INF/01
Altri membri del gruppo di ricerca

Finanziamenti

Realizzare un sistema di acquisizione di immagini 3D di occhiali

Ente finanziatore
  • Evolvenda S.r.l.
Tipologia
  • Conto terzi - Ricerca
Ruolo nel progetto
  • NS
Data inizio
  • Anno: 2008 Durata mesi: 6

Similarità, matching e clustering di strutture relazionali: una prospettiva unificante

Ente finanziatore
  • Cofinanziamento MiUR - Ateneo
Tipologia
  • PRIN (Leader)
Ruolo nel progetto
  • NS
Data inizio
  • Anno: 2006 Durata mesi: 24

Studio e selezione degli approcci scientifici più opportuni per realizzare un sistema di acquisizione di immagini 3D di occhiali e una successiva ricerca ed ordinazione per similarità di forma dei loro componenti.

Ente finanziatore
  • EVOLVENDA Srl
Tipologia
  • Ricerca
Ruolo nel progetto
  • NS
Data inizio
  • Anno: 2009 Durata mesi: 6

SIMBAD - (Beyond Features) Similarity-Based Pattern Analysis and Recognition

Ente finanziatore
  • UE
Tipologia
  • VII Programma Quadro - Fet ICT
Ruolo nel progetto
  • LD
Data inizio
  • Anno: 2007 Durata mesi: 36

Aree geografiche in cui si applica prevalentemente l'esperienza di ricerca

Internazionale: America Settentrionale,Europa, Oceania

Lingue conosciute

  • Italiano (scritto: madrelingua, parlato: madrelingua)
  • Inglese (scritto: avanzato, parlato: avanzato)

Partecipazione a comitati editoriali di riviste/collane scientifiche

IEEE Transactions on Pattern Analysis and Machine Intelligence - Member of Editorial Board; Pattern Recognition - Member of Editorial Board

Pubblicazioni per Anno

2014

  • Pelillo M Alhazen and the nearest neighbor rule, in PATTERN RECOGNITION LETTERS, vol. 38, pp. 34-37 (ISSN 0167-8655) Link DOI (Articolo su rivista)

2013

  • Pelillo M. Similarity-Based Pattern Analysis and Recognition, in Advances in Computer Vision and Pattern Recognition, London, Springer-Verlag (ISBN 9781447156277) (Monografia o trattato scientifico)
  • Hancock E. R; Pelillo M. Similarity-Based Pattern Recognition: SIMBAD 2013, Springer-Verlag, vol. 7953 (Monografia o trattato scientifico)
  • Rota Bulò S.; Pelillo M A game-theoretic approach to hypergraph clustering, in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 35, pp. 1312-1327 (ISSN 0162-8828) (Articolo su rivista)
  • Hou J; Pelillo M A simple feature combination method based on dominant sets, in PATTERN RECOGNITION, vol. 46, pp. 3129-3139 (ISSN 0031-3203) Link DOI (Articolo su rivista)
  • Marcello Pelillo,Samuel Rota Bulò,Andrea Torsello,Andrea Albarelli,Emanuele Rodolà A Game-Theoretic Approach to Pairwise Clustering and Matching, Similarity-Based Pattern Analysis and Recognition, in ADVANCES IN COMPUTER VISION AND PATTERN RECOGNITION, Springer, pp. 179-216 (ISBN 9781447156277) (ISSN 2191-6586) Link DOI (Articolo su libro)
  • Lourenço A; Rota Bulo' S; Rebagliati N; Figueiredo M; Fred A; Pelillo M Probabilistic Evidence Accumulation for Clustering Ensembles, Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2013), Convegno: ICPRAM 2013: 2nd International Conference on Pattern Recognition Applications and Methods, Barcelona, Spain (Articolo in Atti di convegno)

2012

  • S. Rota Bulo', E. R. Hancock, F. Azizb, M. Pelillo Efficient computation of Ihara coefficients using the Bell polynomial recursion, in LINEAR ALGEBRA AND ITS APPLICATIONS, vol. 436, pp. 1436-1441 (ISSN 0024-3795) (Articolo su rivista)
  • P. Kontschieder, S. Rota Bulò, M. Donoser, M. Pelillo, H. Bischof Evolutionary Hough games for coherent object detection, in COMPUTER VISION AND IMAGE UNDERSTANDING, vol. 116, pp. 1149-1158 (ISSN 1077-3142) (Articolo su rivista)
  • Erdem A., Pelillo M. Graph transduction as a noncooperative game, in NEURAL COMPUTATION, vol. 24, pp. 700-723 (ISSN 0899-7667) (Articolo su rivista)
  • Rebagliati N; Solé-Ribalta A; Pelillo M; Serratosa F Computing the Graph Edit Distance Using Dominant Sets, Proceedings of the 21st International Conference on Pattern Recognition, ICPR 2012, pp. 1080-1083, Convegno: ICPR 2012: The 21st International Conference on Pattern Recognition, Tsukuba, Japan (Articolo in Atti di convegno)
  • P. Kontschieder, S. Rota Bulo', A. Criminisi, P. Kohli, M. Pelillo, H. Bischof Context-sensitive decision forests for object detection in P. Bartlett, F.C.N. Pereira, C.J.C. Burges, L. Bottou, K.Q. Weinberger, Advances of Neural Information Processing Systems 25 (NIPS), pp. 440-448, Convegno: NIPS - Neural Information Processing Systems, Lake Tahoe, Nevada, United States (Articolo in Atti di convegno)
  • P. Kontschieder, S. Rota Bulò, H. Bischof, M. Pelillo Structured local predictors for image labelling, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2012), Convegno: CVPR 2012: IEEE Computer Society Conference on Computer Vision and Pattern Recognition , Providence, Rhode Island, USA (Articolo in Atti di convegno)

2011

  • Pelillo M; Hancock E. R. Similarity-Based Pattern Recognition: SIMBAD 2011, Springer-Verlag, vol. 7005 (ISBN 364224470X) (Monografia o trattato scientifico)
  • ROTA BULO' S., RABBI M., PELILLO M. Content-based image retrieval with relevance feedback using random walks, in PATTERN RECOGNITION, vol. 44, pp. 2109-2122 (ISSN 0031-3203) (Articolo su rivista)
  • Erdem A., Pelillo M. Graph Transduction as a Non-cooperative Game, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 6658, pp. 195-204 (ISSN 0302-9743) (Articolo su rivista)
  • ROTA BULO' S, PELILLO M, BOMZE I. M. Graph-based quadratic optimization: A fast evolutionary approach, in COMPUTER VISION AND IMAGE UNDERSTANDING, vol. 115, pp. 984-995 (ISSN 1077-3142) (Articolo su rivista)
  • P. Kontschieder, S. Rota Bulo', M. Donoser, M. Pelillo, H. Bischof Semantic image labeling as a label puzzle game, Proceedings of the 22nd British Machine Vision Conference (BMVC2011), Convegno: BMVC 2011 -- 22nd British Machine Vision Conference, Dundee, UK, 2011 (Articolo in Atti di convegno)
  • Kontschieder P., Rota Bulò S., Bischof H., Pelillo M. Structured class-labels in random forests for semantic image labeling, Proc. International Conference on Computer Vision (ICCV 2011), Convegno: ICCV 2011 -- IEEE Internation Conference on Computer Vision, Barcelona, Spain, 2011 (Articolo in Atti di convegno)

2010

  • Rota Bulo' S, Pelillo M A New Spectral Bound on the Clique Number of Graphs, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 6218, pp. 680-689 (ISSN 0302-9743) (Articolo su rivista)
  • Rota Bulo' S.; Bomze I. M.; Pelillo M. Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 6218, pp. 275-285 (ISSN 0302-9743) (Articolo su rivista)
  • Rota Bulo' S; Lourenço A; Fred A; Pelillo M Pairwise Probabilistic Clustering Using Evidence Accumulation, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 6218, pp. 395-404 (ISSN 0302-9743) (Articolo su rivista)
  • Rota Bulo' S; Pelillo M Probabilistic Clustering Using the Baum-Eagon Inequality, Proceedings of the 20th International Conference on Pattern Recognition (ICPR 2010), IEEE, pp. 1429-1432, Convegno: ICPR 2010 -- The 20th International Conference on Pattern Recognition, Istanbul, Turchia, Agosto 2010 (Articolo in Atti di convegno)

2009

  • ROTA BULO' S; TORSELLO A; PELILLO M. A game-theoretic approach to partial clique enumeration, in IMAGE AND VISION COMPUTING, vol. 27, pp. 911-922 (ISSN 0262-8856) (Articolo su rivista)
  • ROTA BULO' S; PELILLO M. A generalization of the Motzkin-Straus theorem to hypergraphs, in OPTIMIZATION LETTERS, vol. 3, pp. 287-295 (ISSN 1862-4472) (Articolo su rivista)
  • ROTA BULO' S; PELILLO M. New bounds on the clique number of graphs based on spectral hypergraph theory, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 5851/2009, pp. 45-58 (ISSN 0302-9743) (Articolo su rivista)
  • Pelillo M Heuristics for maximum clique and independent set, Encyclopedia of Optimization (2nd Edition), Boston, MA, Kluwer Academic Publishers, pp. 1508-1520 (Voce in dizionario/enciclopedia)
  • Pelillo M. Replicator dynamics in combinatorial optimization, Encyclopedia of Optimization (2nd Edition), Boston, MA, Kluwer Academic Publishers, pp. 3279-3291 (Voce in dizionario/enciclopedia)
  • ROTA BULO' S; PELILLO M. A game-theoretic approach to hypergraph clustering, Proceedings of NIPS 2009 -- Advances in Neural Infomation Processing Systems, Convegno: NIPS 2009 -- Advances in Neural Infomation Processing Systems, Vancouver, Canada (Articolo in Atti di convegno)
  • TORSELLO A.; PELILLO M. Hierarchical Pairwise Segmentation using Dominant Sets and Anisotropic Diffusion Kernels in D. CREMERS; Y. BOYKOV; A. BLAKE; F. R. SCHMIDT EDS., Energy Minimization Methods in Computer Vision and Pattern Recognition, in LECTURE NOTES IN COMPUTER SCIENCE, in Lecture Notes in Computer Science, BERLIN, Springer-Verlag, vol. 5681/2009, pp. 182-192, Convegno: Energy Minimization Methods in Computer Vision and Pattern Recognition -- EMMCVPR 2009 (ISBN 9783642036408) (ISSN 0302-9743) Link DOI (Articolo in Atti di convegno)
  • ALBARELLI A.; ROTA BULO' S.; TORSELLO A.; PELILLO M. Matching as a non-cooperative game, IEEE 12th International Conference on Computer Vision, Los Alamos, CA, IEEE Computer Society, pp. 1319-1326, Convegno: IEEE International Conference on Computer Vision -- ICCV 2009 (ISBN 9781424444205) Link DOI (Articolo in Atti di convegno)
  • M. Pelillo What is a Cluster? Perspectives from Graph Theory, Proceedings of the NIPS 2009 Workshop on "Clustering: Science or Art?", Convegno: NIPS 2009 Workshop on "Clustering: Science or Art?" (Articolo in Atti di convegno)

2008

  • ROTA BULO' S; PELILLO M. A continuous characterization of maximal cliques in k-uniform hypergraphs, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 5313, pp. 220-233 (ISSN 0302-9743) Link DOI (Articolo su rivista)
  • ALBARELLI A., PELILLO M., VIVIANI S. Consensus Graphs for Symmetry Plane Estimation, Structural, Syntactic, and Statistical Pattern Recognition. IAPR International Workshop on, in Lecture Notes in Computer Science, Berlin, Heidelberg, Springer-Verlag, vol. 5342/2008, pp. 197-206 (ISBN 9783540896883) Link DOI (Articolo su libro)
  • ROTA BULO' S.; ALBARELLI A.; TORSELLO A.; PELILLO M. A hypergraph-based approach to affine parameters estimation, 19th International Conference on Pattern Recognition, IEEE Computer Society, vol. 1, pp. 1-4, Convegno: International Conference on Pattern Recognition -- ICPR 2008 (ISBN 9781424421749) Link DOI (Articolo in Atti di convegno)
  • TORSELLO A.; S. ROTA BULO'; M. PELILLO Beyond Partitions: Allowing Overlapping Groups in Pairwise Clustering, 19th International Conference on Pattern Recognition, IEEE Computer Society, pp. 1-4, Convegno: 19th International Conference on Pattern Recognition -- ICPR 2008 (ISBN 9781424421756) Link DOI (Articolo in Atti di convegno)
  • GUALDI G., ALBARELLI A., PRATI A., TORSELLO A., PELILLO M., CUCCHIARA R. Using Dominant Sets for Object Tracking with Freely Moving Camera in Graeme Jones, Tieniu Tan, Steve Maybank and Dimitrios Makris, The Eighth International Workshop on Visual Surveillance - VS2008 (2008), Convegno: Visual Surveillance 2008, Marseille, France, October 17th 2008 (Articolo in Atti di convegno)

2007

  • PAVAN M; PELILLO M. Dominant sets and pairwise clustering, in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 29, pp. 167-172 (ISSN 0162-8828) (Articolo su rivista)
  • SPEROTTO A; PELILLO M. Szemeredi's regularity lemma and its applications to pairwise clustering and segmentation, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 4679, pp. 13-27 (ISSN 0302-9743) (Articolo su rivista)
  • S. ROTA BULO'; TORSELLO A.; M. PELILLO A Continuous-Based Approach for Partial Clique Enumeration, Graph-Based Representations in Pattern Recognition, in LECTURE NOTES IN COMPUTER SCIENCE, Springer, vol. 4538, pp. 61-70, Convegno: Graph-Based Representations in Pattern Recognition -- GbR 2007 (ISBN 9783540729020) (ISSN 0302-9743) Link DOI (Articolo in Atti di convegno)
  • TORSELLO A.; M. DI GESU; M. PELILLO Integrating Boundary Information in Pairwise Segmentation in RITA CUCCHIARA ED., 14th International Conference on Image Analysis and Processing (ICIAP 2007), IEEE Computer society, pp. 23-28, Convegno: International Conference on Image Analysis and Processing -- ICIAP 2007 (ISBN 9780769528779) Link DOI (Articolo in Atti di convegno)
  • TORSELLO A.; A. ALBARELLI; M. PELILLO Matching Relational Structures using the Edge-Association Graph in RITA CUCCHIARA, 14th International Conference on Image Analysis and Processing, IEEE Computer society, pp. 775-780, Convegno: International Conference on Image Analysis and Processing -- ICIAP 2007 (ISBN 9780769528779) Link DOI (Articolo in Atti di convegno)

2006

  • GLANTZ R; PELILLO M. Graph polynomial from principal pivoting, in DISCRETE MATHEMATICS, vol. 306, pp. 3252-3266 (ISSN 0012-365X) (Articolo su rivista)
  • PELILLO M.; TORSELLO A. Payoff-monotonic game dynamics and the maximum clique problem, in NEURAL COMPUTATION, vol. 18, pp. 1215-1258 (ISSN 0899-7667) (Articolo su rivista)
  • M. BICEGO; V. MURINO; M. PELILLO; TORSELLO A. Similarity-Based Pattern Recognition, in PATTERN RECOGNITION, vol. 39(10), pp. 1813-1814 (ISSN 0031-3203) (Articolo su rivista)
  • TORSELLO A.; S. ROTA BULO'; M. PELILLO Grouping with Asymmetric Affinities: A Game-Theoretic Perspective in A. FITZGIBBON; C. J. TAYLOR; Y. LECUN EDS., 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), IEEE Computer Society, vol. 1, pp. 292-299, Convegno: IEEE Computer Society Conference on Computer Vision and Pattern Recognition -- CVPR 2006 (ISBN 9780769525976) Link DOI (Articolo in Atti di convegno)

2005

  • TORSELLO A.; HIDOVIC-ROWE D.; PELILLO M. Polynomial-time metrics for attributed trees, in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 27, pp. 1087-1099 (ISSN 0162-8828) (Articolo su rivista)
  • TORSELLO A; PAVAN M; PELILLO M. Spatio-temporal segmentation using dominant sets, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 3757, pp. 301-315 (ISBN 3540302875) (ISSN 0302-9743) Link DOI (Articolo su rivista)
  • PAVAN M.; PELILLO M. Efficient out-of-sample extension of dominant-set clusters in SAUL L. K.; WEISS Y.; BOTTOU L. EDS., Advances in Neural Information Processing Systems, CAMBRIDGE,MA, MIT Press, vol. 17, pp. 1057-1064 (Articolo su libro)

2004

  • TORSELLO A; HIDOVIC D; PELILLO M. A polynomial-time metric for attributed trees, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 3024, pp. 414-427 (ISBN 3540219811) (ISSN 0302-9743) Link DOI (Articolo su rivista)
  • PAVAN M; PELILLO M. Efficiently segmenting images with dominant sets, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 3212, pp. 17-24 (ISSN 0302-9743) (Articolo su rivista)
  • FIGUEIREDO M. A. T; HANCOCK E. R; PELILLO M.; ZERUBIA J Guest editors' introdution to the special section on energy minimization methods in computer vision and pattern recognition, in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 26, pp. 145-146 (ISSN 0162-8828) (Articolo su rivista)
  • GLANTZ R.; PELILLO M.; KROPATSCH W. G. Matching segmentation hierarchies, in INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, vol. 18, pp. 397-414 (ISSN 0218-0014) (Articolo su rivista)
  • HIDOVIC D.; PELILLO M. Metrics for attributed graphs based on the maximal similarity common subgraph, in INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, vol. 18, pp. 299-314 (ISSN 0218-0014) (Articolo su rivista)
  • LOCATELLI M.; BOMZE I. M.; PELILLO M. The combinatorics of pivoting for the maximum weight clique, in OPERATIONS RESEARCH LETTERS, vol. 32, pp. 523-529 (ISSN 0167-6377) (Articolo su rivista)
  • TORSELLO A.; D. HIDOVIC; M. PELILLO Four Metrics for Efficiently Comparing Attributed Trees in J. KITTLER; M. PETROU; M. NIXON EDS., Proceedings of the 17th International Conference on Pattern Recognition, IEEE Computer Society, vol. 2, pp. 467-470, Convegno: International Conference on Pattern Recognition -- ICPR 2004 (ISBN 9780769521282) Link DOI (Articolo in Atti di convegno)
  • COLLE G; PELILLO M. Relaxation labeling processes for protein secondary structure prediction., LOS ALAMITOS, CA, IEEE Computer Society Press, vol. 2, pp. 355-358, Convegno: ICPR'04 - 17th International Conference on Pattern Recognition (Articolo in Atti di convegno)
  • FIGUEIREDO M. A. T; HANCOCK E. R; PELILLO M.; ZERUBIA J Energy Minimization Methods in Computer Vision and Pattern Recognition (Part II), vol. 26 (Altro)

2003

  • PAVAN M; PELILLO M. Generalizing the Motzkin-Straus theorem to edge-weighted graphs, with applications to image segmentation, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 2683, pp. 485-500 (ISSN 0302-9743) (Articolo su rivista)
  • GLANTZ R; PELILLO M. Graph polynomials, principal pivoting, and maximum independent sets, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 2726, pp. 166-177 (ISSN 0302-9743) (Articolo su rivista)
  • FIGUEIREDO M. A. T; HANCOCK E. R; PELILLO M.; ZERUBIA J Guest editors' introdution to the special section on energy minimization methods in computer vision and pattern recognition, in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 25, pp. 1361-1363 (ISSN 0162-8828) (Articolo su rivista)
  • PAVAN M; PELILLO M. Image segmentation by dominant sets, in ELECTRONIC NOTES IN DISCRETE MATHEMATICS, vol. 12 (ISSN 1571-0653) (Articolo su rivista)
  • MASSARO A.; PELILLO M. Matching graphs by pivoting, in PATTERN RECOGNITION LETTERS, vol. 24, pp. 1099-1106 (ISSN 0167-8655) (Articolo su rivista)
  • PAVAN M; PELILLO M. Pairwise data clustering using monotone game dynamics, in LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 2829, pp. 201-212 (ISSN 0302-9743) (Articolo su rivista)
  • FOSSER P; GLANTZ R; LOCATELLI M; PELILLO M. Swap strategies for graph matching, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 2726, pp. 142-153 (ISSN 0302-9743) (Articolo su rivista)
  • PELILLO M. Computational complexity and the elusiveness of global optima in ABLAMEYKO S.; GORI M.; GORAS L.; PIURI V. EDS., Limitations and Future Trends in Neural Computation, AMSTERDAM, IOS Press, pp. 71-93 (Articolo su libro)
  • PAVAN M; PELILLO M. A new graph-theoretic approach to clustering and segmentation, LOS ALAMITOS, CA, IEEE Computer Society Press, vol. I, pp. 145-152, Convegno: CVPR'03 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Articolo in Atti di convegno)
  • PELILLO M. Annealed imitation: Fast dynamics for maximum clique, pp. 55-60, Convegno: IJCNN'03 - IEEE International Joint Conference on Neural Networks, Portland, OR (Articolo in Atti di convegno)
  • PAVAN M; PELILLO M. Dominant sets and hierarchical clustering, LOS ALAMITOS, CA, IEEE Computer Society Press, vol. I, pp. 362-369, Convegno: ICCV'03 - 9th IEEE International Conference on Computer Vision (Articolo in Atti di convegno)
  • PAVAN M; PELILLO M. Hierarchical clustering using annealed replicator equations, pp. 171-177, Convegno: ANNPR'01 - 1st IAPR Workshop on Artificial Neural Networks in Pattern Recognition, Firenze, Italy (Articolo in Atti di convegno)
  • GLANTZ R; PELILLO M.; KROPATSCH W. G Hierarchical matching of panoramic images, LOS ALAMITOS, CA, IEEE Computer Society Press, pp. 302-307, Convegno: ICIAP'03 - 12th International Conference on Image Analysis and Processing, Mantova, Italy (Articolo in Atti di convegno)
  • PRELIC A; PAVAN M; PELILLO M. Matching of modified X-Y trees using monotone game dynamics, pp. 62-66, Convegno: ANNPR'01 - 1st IAPR Workshop on Artificial Neural Networks in Pattern Recognition, Firenze, Italy (Articolo in Atti di convegno)
  • PAVAN M; PELILLO M. Unsupervised texture segmentation by dominant sets and game dynamics, LOS ALAMITOS, CA, IEEE Computer Society Press, pp. 302-307, Convegno: ICIAP'03 - 12th International Conference on Image Analysis and Processing (Articolo in Atti di convegno)
  • FIGUEIREDO M. A. T; HANCOCK E. R; PELILLO M.; ZERUBIA J Energy Minimization Methods in Computer Vision and Pattern Recognition (Part I), vol. 25 (Altro)

2002

  • MASSARO A.; PELILLO M.; BOMZE I. M. A complementary pivoting approach to the maximum weight clique problem, in SIAM JOURNAL ON OPTIMIZATION, vol. 12, pp. 928-948 (ISSN 1052-6234) (Articolo su rivista)
  • BOMZE I. M.; BUDINICH M.; PELILLO M.; ROSSI C. Annealed replication: A new heuristic for the maximum clique problem, in DISCRETE APPLIED MATHEMATICS, vol. 121, pp. 27-49 (ISSN 0166-218X) (Articolo su rivista)
  • PELILLO M. Matching free trees, maximal cliques, and monotone game dynamics, in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 24, pp. 1535-1541 (ISSN 0162-8828) (Articolo su rivista)
  • PELILLO M. Matching free trees with replicator equations in DIETTERICH T. G.; BECKER S.; GHAHRAMANI Z. EDS, Advances in Neural Information Processing Systems, CAMBRIDGE,MA, MIT Press, vol. 14, pp. 865-872 (Articolo su libro)
  • GLANTZ R; PELILLO M.; KROPATSCH W. G Matching hierarchies of segmentation, pp. 149-158, Convegno: CVWW'02 - 7th Computer Vision Winter Workshop, Bad Aussee, Austria (Articolo in Atti di convegno)

2001

  • MASSARO A; PELILLO M. A complementary pivoting approach to graph matching, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 2134, pp. 469-479 (ISSN 0302-9743) (Articolo su rivista)
  • PELILLO M. Evolutionary game dynamics in combinatorial optimization: An overview, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 2037, pp. 182-192 (ISSN 0302-9743) (Articolo su rivista)
  • DICKINSON S; PELILLO M.; ZABIH R Introduction to the special section on graph algorithms in computer vision, in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 23, pp. 1049-1051 (ISSN 0162-8828) (Articolo su rivista)
  • PELILLO M.; SIDDIQI K; ZUCKER S. W Many-to-many matching of attributed trees using association graphs and game dynamics, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 2059, pp. 583-593 (ISSN 0302-9743) (Articolo su rivista)
  • PELILLO M. Matching free trees, maximal cliques, and monotone game dynamics, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 2134, pp. 423-437 (ISSN 0302-9743) (Articolo su rivista)
  • MASSARO A; PELILLO M. A pivoting-based heuristic for the maximum clique problem in HADJISAVVAS N.; PARDALOS P. M. EDS, Advances in Convex Analysis and Global Optimization, BOSTON, MA, Kluwer Academic Publishers, pp. 383-394 (Articolo su libro)
  • PELILLO M. Heuristics for maximum clique and independent set in FLOUDAS C. A.; PARDALOS P. M. EDS., Encyclopedia of Optimization, BOSTON, MA, Kluwer Academic Publishers, vol. 2, pp. 411-423 (Articolo su libro)
  • PELILLO M.; ROSSI C Payoff-monotonic game dynamics for the maximum clique problem in MARINARO M.; TAGLIAFERRI R. EDS, Neural Nets WIRN Vietri-01, LONDON, Springer-Verlag (Articolo su libro)
  • PELILLO M. Replicator dynamics in combinatorial optimization in FLOUDAS C. A.; PARDALOS P. M. EDS., Encyclopedia of Optimization, BOSTON, MA, Kluwer Academic Publishers, vol. 5, pp. 23-35 (Articolo su libro)
  • MASSARO A; PELILLO M. A linear complementarity approach to graph matching, pp. 160-169, Convegno: GbR'01: 3rd IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition, Ischia, Italy (Articolo in Atti di convegno)
  • PELILLO M. Matching free trees using association graphs, pp. 276-285, Convegno: CVWW'01 - 6th Computer Vision Winter Workshop, Bled, Slovenia (Articolo in Atti di convegno)
  • DICKINSON S; PELILLO M.; ZABIH R Graph Algorithms and Computer Vision.Special Section della rivista IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 23 (Altro)

2000

  • BOMZE I. M.; PELILLO M.; STIX V. Approximating the maximum weight clique using replicator dynamics, in IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 11, pp. 1228-1241 (ISSN 1045-9227) (Articolo su rivista)
  • TORSELLO A.; PELILLO M. Continuous-time relaxation labeling processes, in PATTERN RECOGNITION, vol. 33, pp. 1897-1908 (ISSN 0031-3203) (Articolo su rivista)
  • HANCOCK E. R; PELILLO M. Editorial: Special issue on Energy Minimization Methods in Computer Vision and Pattern Recognition, in PATTERN RECOGNITION, vol. 33, pp. 533-533 (ISSN 0031-3203) (Articolo su rivista)
  • BOMZE I. M; BUDINICH M; PELILLO M.; ROSSI C A new "annealed" heuristic for the maximum clique problem in PARDALOS P. M. EDS, Approximation and Complexity in Numerical Optimization: Continuous and Discrete Problems, BOSTON, MA, Kluwer Academic Publishers, pp. 78-95 (Articolo su libro)
  • PELILLO M.; SIDDIQI K; ZUCKER S. W Continuous-based heuristics for graph and tree isomoprhisms, with applications to computer vision in PARDALOS P. M. EDS, Approximation and Complexity in Numerical Optimization: Continuous and Discrete Problems, BOSTON, MA, Kluwer Academic Publishers, pp. 422-445 (Articolo su libro)
  • JAGOTA A; PELILLO M.; RANGARAJAN A A new deterministic annealing algorithm for maximum clique, LOS ALAMITOS, CA, IEEE Computer Society Press, vol. IV, pp. 505-508, Convegno: IJCNN'2000 - International Joint Conference on Neural Networks (Articolo in Atti di convegno)
  • BARTOLI M; PELILLO M.; SIDDIQI K; ZUCKER S. W Attributed tree homomorphism using association graphs, LOS ALAMITOS, CA, IEEE Computer Society Press, vol. 2, pp. 133-136, Convegno: ICPR'2000 - 15th International Conference on Pattern Recognition, Barcelona, Spain (Articolo in Atti di convegno)
  • HANCOCK E. R; PELILLO M. Energy Minimization Methods in Computer Vision and Pattern Recognition, vol. 33 (Altro)

1999

  • PELILLO M.; SIDDIQI K.; ZUCKER S. W. Matching hierarchical structures using association graphs, in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 21, pp. 1105-1120 (ISSN 0162-8828) (Articolo su rivista)
  • PELILLO M. Replicator equations, maximal cliques, and graph isomorphism, in NEURAL COMPUTATION, vol. 11, pp. 1933-1955 (ISSN 0899-7667) (Articolo su rivista)
  • PELILLO M. Replicator equations, maximal cliques, and graph isomorphism in KEARNS M. S.; SOLLA S.; COHN D. A. EDS, Advances in Neural Information Processing Systems 11, CAMBRIDGE,MA, MIT Press, pp. 550-556 (Articolo su libro)
  • BOMZE; I. M.; BUDINICH M.; PARDALOS P. M.; PELILLO M. The maximum clique problem in DU D.-Z.; PARDALOS P. M. EDS., Handbook of Combinatorial Optimization, BOSTON, MA, Kluwer Academic Publishers, vol. Supplement Volume A, pp. 1-74 (Articolo su libro)
  • PELILLO M.; SIDDIQI K; ZUCKER S. W Attributed tree matching and maximum weight cliques, LOS ALAMITOS, CA, IEEE Computer Society Press, pp. 1154-1159, Convegno: ICIAP'99 - 10th International Conference on Image Analysis and Processing, Venice, Italy (Articolo in Atti di convegno)
  • TORSELLO A; PELILLO M. Continuous-time relaxation labeling processes, 2nd International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, in LECTURE NOTES IN COMPUTER SCIENCE, Springer, vol. 1654, pp. 253-268, Convegno: Energy Minimization Methods in Computer Vision and Pattern Recognition -- EMMCVPR'99 (ISBN 3540662944) (ISSN 0302-9743) Link DOI (Articolo in Atti di convegno)
  • SCHIAVO R. A; PELILLO M. Selecting neural network models for economic time series prediction, Convegno: SCO'99 - Modelli Complessi e Metodi Computazionali Intensivi per la Stima e la Previsione, Venezia, Italia (Articolo in Atti di convegno)
  • HANCOCK E. R; PELILLO M.; EDS Energy Minimization Methods in Computer Vision and Pattern Recognition (Altro)

1998

  • HANCOCK E. R.; PELILLO M. A Bayesian interpretation for the exponential correlation associative memory, in PATTERN RECOGNITION LETTERS, vol. 19, pp. 149-159 (ISSN 0167-8655) (Articolo su rivista)
  • PELILLO M.; SIDDIQI K; ZUCKER S. W Matching hierarchical structures using association graphs, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 1407, pp. 3-16 (ISSN 0302-9743) (Articolo su rivista)
  • PELILLO M. A unifying framework for relational structure matching, LOS ALAMITOS, CA, IEEE Computer Society Press, pp. 1316-1319, Convegno: ICPR'98 - 14th International Conference on Pattern Recognition, Brisbane, Australia (Articolo in Atti di convegno)

1997

  • CASTELLANO G.; FANELLI A. M.; PELILLO M. An iterative pruning algorithm for feedforward neural networks, in IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 8, pp. 519-531 (ISSN 1045-9227) (Articolo su rivista)
  • PELILLO M.; FANELLI A. M. Autoassociative learning in relaxation labeling networks, in PATTERN RECOGNITION LETTERS, vol. 18, pp. 3-12 (ISSN 0167-8655) (Articolo su rivista)
  • PELILLO M. The dynamics of nonlinear relaxation labeling processes, in JOURNAL OF MATHEMATICAL IMAGING AND VISION, vol. 7, pp. 309-323 (ISSN 0924-9907) (Articolo su rivista)
  • HANCOCK E. R; PELILLO M. A Bayesian framework for associative memories in MARINARO M.; TAGLIAFERRI R. EDS, Neural Nets WIRN Vietri-96, LONDON, Springer-Verlag, pp. 125-131 (Articolo su libro)
  • BOMZE I. M; PELILLO M.; GIACOMINI R Evolutionary approach to the maximum clique: Empirical evidence on a larger scale in BOMZE I.M.; CSENDES T.; HORST R.; PARDALOS P. M. EDS, Developments in Global Optimization, DORDRECHT, Kluwer Academic Publishers, pp. 95-108 (Articolo su libro)
  • PELILLO M.; HANCOCK E. R; EDS Energy Minimization Methods in Computer Vision and Pattern Recognition (Altro)

1996

  • PELILLO M. A relaxation algorithm for estimating the domain of validity of feedforward neural networks, in NEURAL PROCESSING LETTERS, vol. 3, pp. 113-121 (ISSN 1370-4621) (Articolo su rivista)
  • PELILLO M. Clique finding relaxation labeling networks, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 1035, pp. 343-352 (ISSN 0302-9743) (Articolo su rivista)
  • PELILLO M.; BOMZE I. M Parallelizable evolutionary dynamics principles for solving the maximum clique problem, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 1141, pp. 676-685 (ISSN 0302-9743) (Articolo su rivista)
  • PELILLO M.; HANCOCK E. R An analysis of the exponential correlation associative memory, LOS ALAMITOS, CA, IEEE Computer Society Press, vol. IV, pp. 291-295, Convegno: ICPR'96 - 13th International Conference on Pattern Recognition, Vienna, Austria (Articolo in Atti di convegno)
  • PELILLO M.; FANELLI A. M Autoassociative learning in relaxation labeling networks, LOS ALAMITOS, CA, IEEE Computer Society Press, vol. IV, pp. 105-110, Convegno: ICPR'96 - 13th International Conference on Pattern Recognition, Vienna, Austria (Articolo in Atti di convegno)

1995

  • PELILLO M.; ABBATTISTA F.; MAFFIONE A. An evolutionary approach to training relaxation labeling processes, in PATTERN RECOGNITION LETTERS, vol. 16, pp. 1069-1078 (ISSN 0167-8655) (Articolo su rivista)
  • PELILLO M.; JAGOTA A. Feasible and infeasible maxima in a quadratic program for maximum clique, in JOURNAL OF ARTIFICIAL NEURAL NETWORKS, vol. 2, pp. 411-420 (ISSN 1073-5828) (Articolo su rivista)
  • CASTELLANO G; FANELLI A. M; PELILLO M. Iterative pruning in second-order recurrent neural networks, in NEURAL PROCESSING LETTERS, vol. 2, pp. 5-8 (ISSN 1370-4621) (Articolo su rivista)
  • PELILLO M. Relaxation labeling networks for the maximum clique problem, in JOURNAL OF ARTIFICIAL NEURAL NETWORKS, vol. 2, pp. 313-328 (ISSN 1073-5828) (Articolo su rivista)
  • PELILLO M.; ABBATTISTA F; MAFFIONE A Teaching relaxation labeling processes using genetic algorithms in PEARSON D. W.; STEELE N. C.; ALBRECHT R. F. EDS., Artificial Neural Networks and Genetic Algorithms, WIEN, Springer-Verlag, pp. 57-60 (Articolo su libro)
  • PELILLO M. A relaxation algorithm for estimating the domain of validity of feedforward neural networks, vol. 2, pp. 443-448, Convegno: ICANN'95 - International Conference on Artificial Neural Networks, Paris, France (Articolo in Atti di convegno)
  • PELILLO M.; FANELLI A. M An asymmetric associative memory model based on relaxation labeling processes, pp. 223-228, Convegno: ESANN'95 - 3rd European Symposium on Artificial Neural Networks, Brussels, Belgium (Articolo in Atti di convegno)
  • PELILLO M. Relaxation labeling networks that solve the maximum clique problem, pp. 166-170, Convegno: ANN'95 - 4th IEE International Conference on Artificial Neural Networks, Cambridge, England (Articolo in Atti di convegno)

1994

  • PELILLO M.; REFICE M. Learning compatibility coefficients for relaxation labeling processes, in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 16, pp. 933-945 (ISSN 0162-8828) (Articolo su rivista)
  • ABBATTISTA F; FANELLI A. M; PELILLO M. An evolutionary approach to vector quantizer design in IMPEDOVO S. ED., Progress in Image Analysis and Processing, SINGAPORE, World Scientific, vol. III, pp. 254-257 (Articolo su libro)
  • PELILLO M.; ABBATTISTA F; ABBATTISTA N Globally optimal learning for relaxation labeling by simulated annealing in IMPEDOVO S. ED., Progress in Image Analysis and Processing III, SINGAPORE, World Scientific, vol. III, pp. 241-247 (Articolo su libro)
  • CASTELLANO G; FANELLI A. M; PELILLO M. Learning minimal feedforward neural networks: A least-squares approach, pp. 46-49, Convegno: IV Convegno dell'AI*IA: Gruppo di Lavoro su Apprendimento Automatico, Parma, Italia (Articolo in Atti di convegno)
  • PELILLO M. Nonlinear relaxation labeling as growth transformation, LOS ALAMITOS, CA, IEEE Computer Society Press, pp. 201-206, Convegno: ICPR'94 - 12th International Conference on Pattern Recognition (Articolo in Atti di convegno)
  • PELILLO M. On the dynamics of relaxation labeling processes, pp. 1006-1011, Convegno: ICNN'94 - IEEE International Conference on Neural Networks (Articolo in Atti di convegno)
  • CASTELLANO G; FANELLI A. M; PELILLO M. Pruning in recurrent neural networks, BERLIN, Springer-Verlag, pp. 451-454, Convegno: ICANN'94 - International Conference on Artificial Neural Networks (Articolo in Atti di convegno)
  • PELILLO M.; MAFFIONE A Using simulated annealing to train relaxation labeling processes, BERLIN, Springer-Verlag, pp. 250-253, Convegno: ICANN'94 - International Conference on Artificial Neural Networks (Articolo in Atti di convegno)

1993

  • FANELLI A. M; PELILLO M. A method of pruning layered feed-forward neural networks, in LECTURE NOTES IN COMPUTER SCIENCE, vol. 686, pp. 278-283 (ISSN 0302-9743) (Articolo su rivista)
  • PELILLO M.; ABBATTISTA F; MAFFIONE A Evolutionary learning for relaxation labeling processes, in LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 728, pp. 230-241 (ISSN 0302-9743) (Articolo su rivista)
  • CASTELLANO G; FANELLI A. M; PELILLO M. An empirical comparison of node pruning methods for layered feed-forward neural networks, pp. 321-326, Convegno: IJCNN'93 - 1993 International Joint Conference on Neural Networks (Articolo in Atti di convegno)
  • PELILLO M. Relaxation labeling processes for the traveling salesman problem, pp. 2429-2432, Convegno: IJCNN'93 - 1993 International Joint Conference on Neural Networks (Articolo in Atti di convegno)
  • PELILLO M.; ABBATTISTA F; MAFFIONE A Stochastic learning for relaxation labeling, pp. 56-71, Convegno: Quarto Workshop del Gruppo AI*IA di Interesse Speciale su Apprendimento Automatico, Milano, Italia (Articolo in Atti di convegno)

1992

  • PELILLO M.; REFICE M An optimization algorithm for determining the compatibility coefficients of relaxation labeling processes, LOS ALAMITOS, CA, IEEE Computer Society Press, pp. 145-148, Convegno: ICPR'92 - 11th International Conference on Pattern Recognition (Articolo in Atti di convegno)
  • PELILLO M.; REFICE M Learning compatibility coefficients for word-class disambiguation relaxation processes, ICSLP'92 - 1992 International Conference on Spoken Language Processing, pp. 389-392 (Articolo in Atti di convegno)
  • PELILLO M. Learning the compatibility coefficients of relaxation labeling processes, pp. 193-205, Convegno: Terzo Workshop del Gruppo AI*IA di Interesse Speciale su Apprendimento Automatico, Roma, Italia (Articolo in Atti di convegno)
  • PELILLO M.; MORO F; REFICE M Probabilistic prediction of parts-of-speech from word-spelling using decision trees, pp. 1343-1346, Convegno: ICSLP'92 - 1992 International Conference on Spoken Language Processing (Articolo in Atti di convegno)

1991

  • MASONI D; PELILLO M. Disambiguazione automatica di parole composte mediante alberi di decisione, pp. 425-432, Convegno: Congresso Annuale AICA, Siena, Italia (Articolo in Atti di convegno)
  • PELILLO M.; REFICE M Syntactic category disambiguation through relaxation processes, pp. 757-760, Convegno: EuroSpeech'91 - 2nd European Conference on Speech Communication and Technologies (Articolo in Atti di convegno)

1990

  • PELILLO M.; SCARCI S Handling dictation ambiguities in the production of text from large-vocabulary speech recognition, pp. 380-384, Convegno: VERBA'90 - International Conference on Speech Technologies (Articolo in Atti di convegno)
  • PELILLO M.; SCARCI S Trascrizione automatica dei numeri in una macchina per dettare, pp. 271-278, Convegno: Congresso Annuale AICA, Bari, Italia (Articolo in Atti di convegno)

Curriculum di Marcello PELILLO

Marcello Pelillo is a Full Professor of Computer Science at Ca’ Foscari University, Venice, where he has been the Chair of the board of studies of the Computer Science School from 2004 to 2010. He is the Director of the Center for Knowledge, Interaction and Intelligent Systems (KIIS) and leads the Computer Vision and Pattern Recognition Lab, which he founded in 1995. He held visiting research positions at Yale University, the University College London, McGill University, the University of Vienna, York University (UK), and the National ICT Australia (NICTA).

His research interests are in the areas of computer vision, pattern recognition and neural computation where he has published more than 130 technical papers in refereed journals, handbooks, and conference proceedings. He serves (or has served) on the editorial board for the journals IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Pattern Recognition, and IET Computer Vision, and has been (is) guest editor for several journal special issues (IEEE TPAMI, Pattern Recognition, IEEE TNNLS). He is regularly on the program committees of the major international conferences and workshops of his fields (CVPR, ICCV, ECCV, ICPR, etc.), and has initiated several conference series as Program Chair, including EMMCVPR (in 1997), IWCV (in 2008), and SIMBAD (in 2011). He is also the founder and the chair of the steering committees for EMMCVPR and SIMBAD.

He has been (is) invited speakers in several international conferences and advanced schools, (e.g., most recently, MCS’13, ICVSS’12, IbPRIA’11, PRIS’09, MLSS’09, etc.), and has been a tutorial lecturer in the top-notch conferences of his area (e.g., CVPR, ECCV, ICPR).

He is (or has been) scientific coordinator of several research projects, including SIMBAD, an EU-FP7 project devoted to similarity-based pattern analysis and recognition, and has been site manager of the PASCAL 2 Network of Excellence.

Prof. Pelillo is a Fellow of the IEEE and of the IAPR. 

© Ca'Foscari 2014