 | 2000 |
|---|
| 10 |       | Massimiliano Pontil,
Sayan Mukherjee,
Federico Girosi:
On the Noise Model of Support Vector Machines Regression.
ALT 2000: 316-324 |
| 1999 |
|---|
| 9 | | Partha Niyogi,
Federico Girosi:
Generalization bounds for function approximation from scattered noisy data.
Adv. Comput. Math. 10(1): 51-80 (1999) |
| 1998 |
|---|
| 8 | | Tomaso Poggio,
Federico Girosi:
A Sparse Representation For Function Approximation.
Neural Computation 10(6): 1445-1454 (1998) |
| 7 | | Federico Girosi:
An Equivalence Between Sparse Approximation And Support Vector Machines.
Neural Computation 10(6): 1455-1480 (1998) |
| 1997 |
|---|
| 6 | | Edgar Osuna,
Robert Freund,
Federico Girosi:
Training Support Vector Machines: an Application to Face Detection.
CVPR 1997: 130-136 |
| 5 | | Bernhard Schölkopf,
Kah Kay Sung,
Christopher J. C. Burges,
Federico Girosi,
Partha Niyogi,
Tomaso Poggio,
Vladimir Vapnik:
Comparing support vector machines with Gaussian kernels to radial basis function classifiers.
IEEE Transactions on Signal Processing 45(11): 2758-2765 (1997) |
| 1991 |
|---|
| 4 | | Davi Geiger,
Federico Girosi:
Parallel and Deterministic Algorithms from MRFs: Surface Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell. 13(5): 401-412 (1991) |
| 1990 |
|---|
| 3 | | Davi Geiger,
Federico Girosi:
Parallel and deterministic algorithms from MRFs: surface reconstruction and integration.
ECCV 1990: 89-98 |
| 2 | | Federico Girosi,
Tomaso Poggio,
Bruno Caprile:
Extensions of a Theory of Networks for Approximation and Learning.
NIPS 1990: 750-756 |
| 1989 |
|---|
| 1 | | Davi Geiger,
Federico Girosi:
Coupled Markov Random Fields and Mean Field Theory.
NIPS 1989: 660-667 |
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