| 2009 | ||
|---|---|---|
| 67 | Andrea Torsello, Marcello Pelillo: Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels. EMMCVPR 2009: 182-192 | |
| 66 | Marcello Pelillo: Heuristics for Maximum Clique and Independent Set. Encyclopedia of Optimization 2009: 1508-1520 | |
| 65 | Marcello Pelillo: Replicator Dynamics in Combinatorial Optimization. Encyclopedia of Optimization 2009: 3279-3291 | |
| 64 | Samuel Rota Bulò, Andrea Torsello, Marcello Pelillo: A game-theoretic approach to partial clique enumeration. Image Vision Comput. 27(7): 911-922 (2009) | |
| 2008 | ||
| 63 | Samuel Rota Bulò, Andrea Albarelli, Andrea Torsello, Marcello Pelillo: A hypergraph-based approach to affine parameters estimation. ICPR 2008: 1-4 | |
| 62 | Andrea Torsello, Samuel Rota Bulò, Marcello Pelillo: Beyond partitions: Allowing overlapping groups in pairwise clustering. ICPR 2008: 1-4 | |
| 61 | Andrea Albarelli, Marcello Pelillo, Sebastiano Viviani: Consensus Graphs for Symmetry Plane Estimation. SSPR/SPR 2008: 197-206 | |
| 2007 | ||
| 60 | Anna Sperotto, Marcello Pelillo: Szemerédi's Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation. EMMCVPR 2007: 13-27 | |
| 59 | Samuel Rota Bulò, Andrea Torsello, Marcello Pelillo: A Continuous-Based Approach for Partial Clique Enumeration. GbRPR 2007: 61-70 | |
| 58 | Andrea Torsello, Marco Di Gesu, Marcello Pelillo: Integrating Boundary Information in Pairwise Segmentation. ICIAP 2007: 23-28 | |
| 57 | Andrea Torsello, Andrea Albarelli, Marcello Pelillo: Matching Relational Structures using the Edge-Association Graph. ICIAP 2007: 775-780 | |
| 56 | Samuel Rota Bulò, Marcello Pelillo: A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs. LION 2007: 220-233 | |
| 55 | Massimiliano Pavan, Marcello Pelillo: Dominant Sets and Pairwise Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 167-172 (2007) | |
| 2006 | ||
| 54 | Andrea Torsello, Samuel Rota Bulò, Marcello Pelillo: Grouping with Asymmetric Affinities: A Game-Theoretic Perspective. CVPR (1) 2006: 292-299 | |
| 53 | Roland Glantz, Marcello Pelillo: Graph polynomials from principal pivoting. Discrete Mathematics 306(24): 3253-3266 (2006) | |
| 52 | Marcello Pelillo, Andrea Torsello: Payoff-Monotonic Game Dynamics and the Maximum Clique Problem. Neural Computation 18(5): 1215-1258 (2006) | |
| 51 | Manuele Bicego, Vittorio Murino, Marcello Pelillo, Andrea Torsello: Similarity-based pattern recognition. Pattern Recognition 39(10): 1813-1814 (2006) | |
| 2005 | ||
| 50 | Andrea Torsello, Massimiliano Pavan, Marcello Pelillo: Spatio-temporal Segmentation Using Dominant Sets. EMMCVPR 2005: 301-315 | |
| 49 | Andrea Torsello, Dzena Hidovic Rowe, Marcello Pelillo: Polynomial-Time Metrics for Attributed Trees. IEEE Trans. Pattern Anal. Mach. Intell. 27(7): 1087-1099 (2005) | |
| 2004 | ||
| 48 | Andrea Torsello, Dzena Hidovic, Marcello Pelillo: A Polynomial-Time Metric for Attributed Trees. ECCV (4) 2004: 414-427 | |
| 47 | Massimiliano Pavan, Marcello Pelillo: Efficiently Segmenting Images with Dominant Sets. ICIAR (1) 2004: 17-24 | |
| 46 | Giacomo Colle, Marcello Pelillo: Relaxation Labeling Processes for Protein Secondary Structure Prediction. ICPR (2) 2004: 355-358 | |
| 45 | Andrea Torsello, Dzena Hidovic, Marcello Pelillo: Four Metrics for Efficiently Comparing Attributed Trees. ICPR (2) 2004: 467-470 | |
| 44 | Massimiliano Pavan, Marcello Pelillo: Efficient Out-of-Sample Extension of Dominant-Set Clusters. NIPS 2004 | |
| 43 | Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia: Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 145-146 (2004) | |
| 42 | Dzena Hidovic, Marcello Pelillo: Metrics For Attributed Graphs Based On The Maximal Similarity Common Subgraph. IJPRAI 18(3): 299-313 (2004) | |
| 41 | Roland Glantz, Marcello Pelillo, Walter G. Kropatsch: Matching Segmentation Hierarchies. IJPRAI 18(3): 397-424 (2004) | |
| 40 | Marco Locatelli, Immanuel M. Bomze, Marcello Pelillo: The combinatorics of pivoting for the maximum weight clique. Oper. Res. Lett. 32(6): 523-529 (2004) | |
| 2003 | ||
| 39 | Massimiliano Pavan, Marcello Pelillo: Pairwise Data Clustering Using Monotone Game Dynamics. AI*IA 2003: 201-212 | |
| 38 | Massimiliano Pavan, Marcello Pelillo: Graph-Theoretic Approach to Clustering and Segmentation. CVPR (1) 2003: 145-152 | |
| 37 | Massimiliano Pavan, Marcello Pelillo: Generalizing the Motzkin-Straus Theorem to Edge-Weighted Graphs, with Applications to Image Segmentation. EMMCVPR 2003: 485-500 | |
| 36 | Paolo Fosser, Roland Glantz, Marco Locatelli, Marcello Pelillo: Swap Strategies for Graph Matching. GbRPR 2003: 142-153 | |
| 35 | Roland Glantz, Marcello Pelillo: Graph Polynomials, Principal Piovoting, and Maximum Independent Sets. GbRPR 2003: 166-177 | |
| 34 | Massimiliano Pavan, Marcello Pelillo: Dominant Sets and Hierarchical Clustering. ICCV 2003: 362-369 | |
| 33 | Massimiliano Pavan, Marcello Pelillo: Unsupervised texture segmentation by dominant sets and game dynamics. ICIAP 2003: 302-307 | |
| 32 | Roland Glantz, Marcello Pelillo, Walter G. Kropatsch: Hierarchical matching of panoramic images. ICIAP 2003: 328-333 | |
| 31 | Massimiliano Pavan, Marcello Pelillo: Image Segmentation by Dominant Sets. Electronic Notes in Discrete Mathematics 12: 166-177 (2003) | |
| 30 | Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia: Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1361-1363 (2003) | |
| 29 | Alessio Massaro, Marcello Pelillo: Matching graphs by pivoting. Pattern Recognition Letters 24(8): 1099-1106 (2003) | |
| 2002 | ||
| 28 | Immanuel M. Bomze, Marco Budinich, Marcello Pelillo, Claudio Rossi: Annealed replication: a new heuristic for the maximum clique problem. Discrete Applied Mathematics 121(1-3): 27-49 (2002) | |
| 27 | Marcello Pelillo: Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 24(11): 1535-1541 (2002) | |
| 2001 | ||
| 26 | Marcello Pelillo: Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics. EMMCVPR 2001: 423-437 | |
| 25 | Alessio Massaro, Marcello Pelillo: A Complementary Pivoting Approach to Graph Matching. EMMCVPR 2001: 469-479 | |
| 24 | Marcello Pelillo: Evolutionary Game Dynamics in Combinatorial Optimization: An Overview. EvoWorkshops 2001: 182-192 | |
| 23 | Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker: Many-to-many Matching of Attributed Trees Using Association Graphs and Game Dynamics. IWVF 2001: 583-593 | |
| 22 | Marcello Pelillo: Matching Free Trees with Replicator Equations. NIPS 2001: 865-872 | |
| 21 | Sven J. Dickinson, Marcello Pelillo, Ramin Zabih: Introduction to the Special Section on Graph Algorithms in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 23(10): 1049-1052 (2001) | |
| 2000 | ||
| 20 | Massimo Bartoli, Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker: Attributed Tree Homomorphism Using Association Graphs. ICPR 2000: 2133-2136 | |
| 19 | Arun Jagota, Marcello Pelillo, Anand Rangarajan: A New Deterministic Annealing Algorithm for Maximum Clique. IJCNN (6) 2000: 505-508 | |
| 18 | Andrea Torsello, Marcello Pelillo: Continuous-time relaxation labeling processes. Pattern Recognition 33(11): 1897-1908 (2000) | |
| 1999 | ||
| 17 | Edwin R. Hancock, Marcello Pelillo: Energy Minimization Methods in Computer Vision and Pattern Recognition, Second International Workshop, EMMCVPR'99, York, UK, July 26-29, 1999, Proceedings Springer 1999 | |
| 16 | Andrea Torsello, Marcello Pelillo: Continuous-Time Relaxation Labeling Processes. EMMCVPR 1999: 253-268 | |
| 15 | Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker: Attributed Tree Matching and Maximum Weight Cliques. ICIAP 1999: 1154-1159 | |
| 14 | Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker: Matching Hierarchical Structures Using Association Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 21(11): 1105-1120 (1999) | |
| 13 | Marcello Pelillo: Replicator Equations, Maximal Cliques, and Graph Isomorphism. Neural Computation 11(8): 1933-1955 (1999) | |
| 1998 | ||
| 12 | Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker: Matching Hierarchical Structures Using Association Graphs. ECCV (2) 1998: 3-16 | |
| 11 | Marcello Pelillo: Replicator Equations, Maximal Cliques, and Graph Isomorphism. NIPS 1998: 550-556 | |
| 10 | Edwin R. Hancock, Marcello Pelillo: A Bayesian interpretation for the exponential correlation associative memory. Pattern Recognition Letters 19(2): 149-159 (1998) | |
| 1997 | ||
| 9 | Marcello Pelillo, Edwin R. Hancock: Energy Minimization Methods in Computer Vision and Pattern Recognition, First International Workshop, EMMCVPR'97, Venice, Italy, May 21-23, 1997, Proceedings Springer 1997 | |
| 8 | Marcello Pelillo, Anna Maria Fanelli: Autoassociative learning in relaxation labeling networks. Pattern Recognition Letters 18(1): 3-12 (1997) | |
| 1996 | ||
| 7 | Marcello Pelillo, Immanuel M. Bomze: Parallelizable Evolutionary Dynamics Principles for Solving the Maximum Clique Problem. PPSN 1996: 676-685 | |
| 6 | Marcello Pelillo: A Relaxation Algorithm for Estimating the Domain of Validity of Feedforward Neural Networks. Neural Processing Letters 3(3): 113-121 (1996) | |
| 1995 | ||
| 5 | Marcello Pelillo: Clique Finding Relaxation Labeling Networks. ACCV 1995: 343-352 | |
| 4 | Marcello Pelillo, Fabio Abbattista, Angelo Maffione: An evolutionary approach to training relaxation labeling processes. Pattern Recognition Letters 16(10): 1069-1078 (1995) | |
| 1994 | ||
| 3 | Marcello Pelillo, Mario Refice: Learning Compatibility Coefficients for Relaxation Labeling Processes. IEEE Trans. Pattern Anal. Mach. Intell. 16(9): 933-945 (1994) | |
| 1993 | ||
| 2 | Marcello Pelillo, Fabio Abbattista, Angelo Maffione: Evolutionary Learning for Relaxation Labeling Processes. AI*IA 1993: 230-241 | |
| 1 | Marcello Pelillo, Anna Maria Fanelli: A Method of Pruning Layered Feed-Forward Neural Networks. IWANN 1993: 278-283 | |