Massimiliano Pontil

2008
58	EE	Andreas Maurer, Massimiliano Pontil: A Uniform Lower Error Bound for Half-Space Learning. ALT 2008: 70-78
57	EE	Andreas Maurer, Massimiliano Pontil: Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces. ALT 2008: 79-91
56	EE	Andreas Argyriou, Andreas Maurer, Massimiliano Pontil: An Algorithm for Transfer Learning in a Heterogeneous Environment. ECML/PKDD (1) 2008: 71-85
55	EE	Mark Herbster, Guy Lever, Massimiliano Pontil: Online Prediction on Large Diameter Graphs. NIPS 2008: 649-656
54	EE	Mark Herbster, Massimiliano Pontil, Sergio Rojas Galeano: Fast Prediction on a Tree. NIPS 2008: 657-664
53	EE	Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil: When is there a representer theorem? Vector versus matrix regularizers CoRR abs/0809.1590: (2008)
52	EE	Yiming Ying, Massimiliano Pontil: Online Gradient Descent Learning Algorithms. Foundations of Computational Mathematics 8(5): 561-596 (2008)
51	EE	Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil: Convex multi-task feature learning. Machine Learning 73(3): 243-272 (2008)
2007
50	EE	Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil, Yiming Ying: A Spectral Regularization Framework for Multi-Task Structure Learning. NIPS 2007
49	EE	Charles A. Micchelli, Massimiliano Pontil: Feature space perspectives for learning the kernel. Machine Learning 66(2-3): 297-319 (2007)
2006
48	EE	Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil: A DC-programming algorithm for kernel selection. ICML 2006: 41-48
47	EE	Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil: Multi-Task Feature Learning. NIPS 2006: 41-48
46	EE	Mark Herbster, Massimiliano Pontil: Prediction on a Graph with a Perceptron. NIPS 2006: 577-584
2005
45	EE	Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil: Learning Convex Combinations of Continuously Parameterized Basic Kernels. COLT 2005: 338-352
44	EE	Mark Herbster, Massimiliano Pontil, Lisa Wainer: Online learning over graphs. ICML 2005: 305-312
43	EE	Andreas Argyriou, Mark Herbster, Massimiliano Pontil: Combining Graph Laplacians for Semi-Supervised Learning. NIPS 2005
42	EE	Charles A. Micchelli, Massimiliano Pontil: Learning the Kernel Function via Regularization. Journal of Machine Learning Research 6: 1099-1125 (2005)
41	EE	André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil: Stability of Randomized Learning Algorithms. Journal of Machine Learning Research 6: 55-79 (2005)
40	EE	Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil: Learning Multiple Tasks with Kernel Methods. Journal of Machine Learning Research 6: 615-637 (2005)
39	EE	Charles A. Micchelli, Massimiliano Pontil: On Learning Vector-Valued Functions. Neural Computation 17(1): 177-204 (2005)
38	EE	Sauro Menchetti, Fabrizio Costa, Paolo Frasconi, Massimiliano Pontil: Wide coverage natural language processing using kernel methods and neural networks for structured data. Pattern Recognition Letters 26(12): 1896-1906 (2005)
2004
37	EE	Charles A. Micchelli, Massimiliano Pontil: A Function Representation for Learning in Banach Spaces. COLT 2004: 255-269
36	EE	Theodoros Evgeniou, Massimiliano Pontil: Regularized multi--task learning. KDD 2004: 109-117
35	EE	Charles A. Micchelli, Massimiliano Pontil: Kernels for Multi--task Learning. NIPS 2004
34	EE	Theodoros Evgeniou, Massimiliano Pontil, André Elisseeff: Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers. Machine Learning 55(1): 71-97 (2004)
2003
33	EE	Massimiliano Pontil: Reproducing kernels and regularization methods in machine learning. ESANN 2003: 185-196
32	EE	Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari: On different ensembles of kernel machines. ESANN 2003: 197-201
31	EE	Theodoros Evgeniou, Massimiliano Pontil, Constantine Papageorgiou, Tomaso Poggio: Image Representations and Feature Selection for Multimedia Database Search. IEEE Trans. Knowl. Data Eng. 15(4): 911-920 (2003)
30	EE	Massimiliano Pontil: A note on different covering numbers in learning theory. J. Complexity 19(5): 665-671 (2003)
29	EE	Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines. Pattern Recognition 36(2): 397-406 (2003)
28	EE	Chikahito Nakajima, Massimiliano Pontil, Bernd Heisele, Tomaso Poggio: Full-body person recognition system. Pattern Recognition 36(9): 1997-2006 (2003)
2002
27		Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: From Margins to Probabilities in Multiclass Learning Problems. ECAI 2002: 400-404
26		Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil: A Simple Algorithm for Learning Stable Machines. ECAI 2002: 513-517
25	EE	Theodoros Evgeniou, Massimiliano Pontil: Support Vector Machines with Clustering for Training with Very Large Datasets. SETN 2002: 346-354
24	EE	Chikahito Nakajima, Massimiliano Pontil: Maintenance Training of Electric Power Facilities Using Object Recognition by SVM. SVM 2002: 112-119
23	EE	Theodoros Evgeniou, Massimiliano Pontil: Learning Preference Relations from Data. WIRN 2002: 23-34
22	EE	Massimiliano Pontil: A Short Review of Statistical Learning Theory. WIRN 2002: 233-242
2001
21	EE	Yuan Yao, Gian Luca Marcialis, Massimiliano Pontil, Paolo Frasconi, Fabio Roli: A New Machine Learning Approach to Fingerprint Classification. AI*IA 2001: 57-63
20	EE	Yuan Yao, Paolo Frasconi, Massimiliano Pontil: Fingerprint Classification with Combinations of Support Vector Machines. AVBPA 2001: 253-258
19	EE	Bernd Heisele, Thomas Serre, Massimiliano Pontil, Tomaso Poggio: Component-based Face Detection. CVPR (1) 2001: 657-662
18	EE	Theodoros Evgeniou, Massimiliano Pontil: Support Vector Machines: Theory and Applications. Machine Learning and Its Applications 2001: 249-257
17	EE	Bernd Heisele, Thomas Serre, Massimiliano Pontil, Thomas Vetter, Tomaso Poggio: Categorization by Learning and Combining Object Parts. NIPS 2001: 1239-1245
2000
16	EE	Theodoros Evgeniou, Massimiliano Pontil: A Note on the Generalization Performance of Kernel Classifiers with Margin. ALT 2000: 306-315
15	EE	Massimiliano Pontil, Sayan Mukherjee, Federico Girosi: On the Noise Model of Support Vector Machines Regression. ALT 2000: 316-324
14		Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso Poggio: Bounds on the Generalization Performance of Kernel Machine Ensembles. ICML 2000: 271-278
13	EE	Chikahito Nakajima, Norihiko Itoh, Massimiliano Pontil, Tomaso Poggio: Object Recognition and Detection by a Combination of Support Vector Machine and Rotation Invariant Phase Only Correlation. ICPR 2000: 4787-4790
12	EE	Chikahito Nakajima, Massimiliano Pontil, Tomaso Poggio: People Recognition and Pose Estimation in Image Sequences. IJCNN (4) 2000: 189-196
11		Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik: Feature Selection for SVMs. NIPS 2000: 668-674
10	EE	Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio: Regularization Networks and Support Vector Machines. Adv. Comput. Math. 13(1): 1-50 (2000)
9		Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio: Statistical Learning Theory: A Primer. International Journal of Computer Vision 38(1): 9-13 (2000)
1999
8	EE	Theodoros Evgeniou, Massimiliano Pontil: On the Vgamma Dimension for Regression in Reproducing Kernel Hilbert Spaces. ATL 1999: 106-117
7	EE	Ryan M. Rifkin, Massimiliano Pontil, Alessandro Verri: A Note on Support Vector Machine Degeneracy. ATL 1999: 252-263
6	EE	Massimiliano Pontil, Ryan M. Rifkin, Theodoros Evgeniou: From regression to classification in support vector machines. ESANN 1999: 225-230
5	EE	N. Barabino, M. Pallavicini, A. Petrolini, Massimiliano Pontil, Alessandro Verri: Support vector machines vs multi-layer perceptrons in particle identification. ESANN 1999: 257-262
1998
4	EE	Massimiliano Pontil, Stefano Rogai, Alessandro Verri: Recognizing 3-D Objects with Linear Support Vector Machines. ECCV (2) 1998: 469-483
3	EE	Massimiliano Pontil, Alessandro Verri: Support Vector Machines for 3D Object Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 20(6): 637-646 (1998)
2		Massimiliano Pontil, Alessandro Verri: Properties of Support Vector Machines. Neural Computation 10(4): 955-974 (1998)
1997
1		Massimiliano Pontil, Alessandro Verri: Direct Aspect-Based 3D Object Recognition. ICIAP (2) 1997: 300-307

Coauthor Index

1	Shun-ichi Amari	[32]
2	Savina Andonova	[26]
3	Andreas Argyriou	[43] [45] [47] [48] [50] [51] [53] [56]
4	N. Barabino	[5]
5	Olivier Chapelle	[11]
6	Fabrizio Costa	[38]
7	André Elisseeff	[26] [34] [41]
8	Theodoros Evgeniou	[6] [8] [9] [10] [14] [16] [18] [23] [25] [26] [31] [34] [36] [40] [41] [47] [51]
9	Paolo Frasconi	[20] [21] [27] [29] [38]
10	Sergio Rojas Galeano	[54]
11	Federico Girosi	[15]
12	Raphael Hauser	[48]
13	Bernd Heisele	[17] [19] [28]
14	Mark Herbster	[43] [44] [46] [54] [55]
15	Norihiko Itoh	[13]
16	Guy Lever	[55]
17	Gian Luca Marcialis	[21] [29]
18	Andreas Maurer	[56] [57] [58]
19	Sauro Menchetti	[38]
20	Charles A. Micchelli	[35] [37] [39] [40] [42] [45] [48] [49] [50] [53]
21	Sayan Mukherjee	[11] [15]
22	Hiroyuki Nakahara	[32]
23	Chikahito Nakajima	[12] [13] [24] [28]
24	M. Pallavicini	[5]
25	Constantine Papageorgiou	[31]
26	Andrea Passerini	[27]
27	Luis Pérez-Breva	[14]
28	A. Petrolini	[5]
29	Tomaso Poggio	[9] [10] [11] [12] [13] [14] [17] [19] [28] [31]
30	Ryan M. Rifkin	[6] [7]
31	Stefano Rogai	[4]
32	Fabio Roli	[21] [29]
33	Thomas Serre	[17] [19]
34	Vladimir Vapnik	[11]
35	Alessandro Verri	[1] [2] [3] [4] [5] [7]
36	Thomas Vetter	[17]
37	Lisa Wainer	[44]
38	Jason Weston	[11]
39	Michiko Yamana	[32]
40	Yuan Yao	[20] [21] [29]
41	Yiming Ying	[50] [52]

Colors in the list of coauthors