Massimiliano Pontil

2007
48	EE	Charles A. Micchelli, Massimiliano Pontil: Feature space perspectives for learning the kernel. Machine Learning 66(2-3): 297-319 (2007)
2006
47	EE	Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil: A DC-programming algorithm for kernel selection. ICML 2006: 41-48
46	EE	Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil: Multi-Task Feature Learning. NIPS 2006: 41-48
45	EE	Mark Herbster, Massimiliano Pontil: Prediction on a Graph with a Perceptron. NIPS 2006: 577-584
2005
44	EE	Andreas Argyriou, Charles A. Micchelli, Massimiliano Pontil: Learning Convex Combinations of Continuously Parameterized Basic Kernels. COLT 2005: 338-352
43	EE	Mark Herbster, Massimiliano Pontil, Lisa Wainer: Online learning over graphs. ICML 2005: 305-312
42	EE	Andreas Argyriou, Mark Herbster, Massimiliano Pontil: Combining Graph Laplacians for Semi-Supervised Learning. NIPS 2005
41	EE	Charles A. Micchelli, Massimiliano Pontil: Learning the Kernel Function via Regularization. Journal of Machine Learning Research 6: 1099-1125 (2005)
40	EE	André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil: Stability of Randomized Learning Algorithms. Journal of Machine Learning Research 6: 55-79 (2005)
39	EE	Theodoros Evgeniou, Charles A. Micchelli, Massimiliano Pontil: Learning Multiple Tasks with Kernel Methods. Journal of Machine Learning Research 6: 615-637 (2005)
38	EE	Charles A. Micchelli, Massimiliano Pontil: On Learning Vector-Valued Functions. Neural Computation 17(1): 177-204 (2005)
37	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
36	EE	Charles A. Micchelli, Massimiliano Pontil: A Function Representation for Learning in Banach Spaces. COLT 2004: 255-269
35	EE	Theodoros Evgeniou, Massimiliano Pontil: Regularized multi--task learning. KDD 2004: 109-117
34	EE	Charles A. Micchelli, Massimiliano Pontil: Kernels for Multi--task Learning. NIPS 2004
33	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
32	EE	Massimiliano Pontil: Reproducing kernels and regularization methods in machine learning. ESANN 2003: 185-196
31	EE	Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari: On different ensembles of kernel machines. ESANN 2003: 197-201
30	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)
29	EE	Massimiliano Pontil: A note on different covering numbers in learning theory. J. Complexity 19(5): 665-671 (2003)
28	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)
27	EE	Chikahito Nakajima, Massimiliano Pontil, Bernd Heisele, Tomaso Poggio: Full-body person recognition system. Pattern Recognition 36(9): 1997-2006 (2003)
2002
26		Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: From Margins to Probabilities in Multiclass Learning Problems. ECAI 2002: 400-404
25		Savina Andonova, André Elisseeff, Theodoros Evgeniou, Massimiliano Pontil: A Simple Algorithm for Learning Stable Machines. ECAI 2002: 513-517
24	EE	Theodoros Evgeniou, Massimiliano Pontil: Support Vector Machines with Clustering for Training with Very Large Datasets. SETN 2002: 346-354
23	EE	Chikahito Nakajima, Massimiliano Pontil: Maintenance Training of Electric Power Facilities Using Object Recognition by SVM. SVM 2002: 112-119
22	EE	Theodoros Evgeniou, Massimiliano Pontil: Learning Preference Relations from Data. WIRN 2002: 23-34
21	EE	Massimiliano Pontil: A Short Review of Statistical Learning Theory. WIRN 2002: 233-242
2001
20	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
19	EE	Yuan Yao, Paolo Frasconi, Massimiliano Pontil: Fingerprint Classification with Combinations of Support Vector Machines. AVBPA 2001: 253-258
18	EE	Bernd Heisele, Thomas Serre, Massimiliano Pontil, Tomaso Poggio: Component-based Face Detection. CVPR (1) 2001: 657-662
17	EE	Theodoros Evgeniou, Massimiliano Pontil: Support Vector Machines: Theory and Applications. Machine Learning and Its Applications 2001: 249-257
16	EE	Bernd Heisele, Thomas Serre, Massimiliano Pontil, Thomas Vetter, Tomaso Poggio: Categorization by Learning and Combining Object Parts. NIPS 2001: 1239-1245
2000
15	EE	Theodoros Evgeniou, Massimiliano Pontil: A Note on the Generalization Performance of Kernel Classifiers with Margin. ALT 2000: 306-315
14	EE	Massimiliano Pontil, Sayan Mukherjee, Federico Girosi: On the Noise Model of Support Vector Machines Regression. ALT 2000: 316-324
13		Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso Poggio: Bounds on the Generalization Performance of Kernel Machine Ensembles. ICML 2000: 271-278
12	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
11	EE	Chikahito Nakajima, Massimiliano Pontil, Tomaso Poggio: People Recognition and Pose Estimation in Image Sequences. IJCNN (4) 2000: 189-196
10		Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik: Feature Selection for SVMs. NIPS 2000: 668-674
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	[31]
2	Savina Andonova	[25]
3	Andreas Argyriou	[42] [44] [46] [47]
4	N. Barabino	[5]
5	Olivier Chapelle	[10]
6	Fabrizio Costa	[37]
7	André Elisseeff	[25] [33] [40]
8	Theodoros Evgeniou	[6] [8] [9] [13] [15] [17] [22] [24] [25] [30] [33] [35] [39] [40] [46]
9	Paolo Frasconi	[19] [20] [26] [28] [37]
10	Federico Girosi	[14]
11	Raphael Hauser	[47]
12	Bernd Heisele	[16] [18] [27]
13	Mark Herbster	[42] [43] [45]
14	Norihiko Itoh	[12]
15	Gian Luca Marcialis	[20] [28]
16	Sauro Menchetti	[37]
17	Charles A. Micchelli	[34] [36] [38] [39] [41] [44] [47] [48]
18	Sayan Mukherjee	[10] [14]
19	Hiroyuki Nakahara	[31]
20	Chikahito Nakajima	[11] [12] [23] [27]
21	M. Pallavicini	[5]
22	Constantine Papageorgiou	[30]
23	Andrea Passerini	[26]
24	Luis Pérez-Breva	[13]
25	A. Petrolini	[5]
26	Tomaso Poggio	[9] [10] [11] [12] [13] [16] [18] [27] [30]
27	Ryan M. Rifkin	[6] [7]
28	Stefano Rogai	[4]
29	Fabio Roli	[20] [28]
30	Thomas Serre	[16] [18]
31	Vladimir Vapnik	[10]
32	Alessandro Verri	[1] [2] [3] [4] [5] [7]
33	Thomas Vetter	[16]
34	Lisa Wainer	[43]
35	Jason Weston	[10]
36	Michiko Yamana	[31]
37	Yuan Yao	[19] [20] [28]

Colors in the list of coauthors