Federico Girosi
Federico Girosi
Professor,University of Western Sydney & Chief Scientist, Digital Health CRC
Verified email at dhcrc.com - Homepage
Cited by
Cited by
Networks for approximation and learning
T Poggio, F Girosi
Proceedings of the IEEE 78 (9), 1481-1497, 1990
Training support vector machines: an application to face detection
E Osuna, R Freund, F Girosit
Proceedings of IEEE computer society conference on computer vision and …, 1997
Can electronic medical record systems transform health care? Potential health benefits, savings, and costs
R Hillestad, J Bigelow, A Bower, F Girosi, R Meili, R Scoville, R Taylor
Health affairs 24 (5), 1103-1117, 2005
Regularization theory and neural networks architectures
F Girosi, M Jones, T Poggio
Neural computation 7 (2), 219-269, 1995
An improved training algorithm for support vector machines
E Osuna, R Freund, F Girosi
Neural networks for signal processing VII. Proceedings of the 1997 IEEE …, 1997
Comparing support vector machines with Gaussian kernels to radial basis function classifiers
B Scholkopf, KK Sung, CJC Burges, F Girosi, P Niyogi, T Poggio, ...
IEEE transactions on Signal Processing 45 (11), 2758-2765, 1997
Regularization algorithms for learning that are equivalent to multilayer networks
T Poggio, F Girosi
Science 247 (4945), 978-982, 1990
Support vector machines: Training and applications
EE Osuna
Massachusetts Institute of Technology, 1998
Networks and the best approximation property
F Girosi, T Poggio
Biological cybernetics 63 (3), 169-176, 1990
A theory of networks for approximation and learning
T Poggio, F Girosi
Massachusetts INST of TECH Cambridge Artificial Intelligence LAB, 1989
Nonlinear prediction of chaotic time series using support vector machines
S Mukherjee, E Osuna, F Girosi
Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE …, 1997
An Equivalence Between Sparse Approximation and Support Vector Machines
F Girosi
Parallel and deterministic algorithms from MRFs: Surface reconstruction
D Geiger, F Girosi
IEEE Computer Architecture Letters 13 (05), 401-412, 1991
A computational approach to motion perception
S Uras, F Girosi, A Verri, V Torre
Biological cybernetics 60 (2), 79-87, 1988
Incorporating prior information in machine learning by creating virtual examples
P Niyogi, F Girosi, T Poggio
Proceedings of the IEEE 86 (11), 2196-2209, 1998
Reducing the global burden of tuberculosis: the contribution of improved diagnostics
E Keeler, MD Perkins, P Small, C Hanson, S Reed, J Cunningham, ...
Nature 444 (1), 49-57, 2006
On the relationship between generalization error, hypothesis complexity, and sample complexity for radial basis functions
P Niyogi, F Girosi
Neural Computation 8 (4), 819-842, 1996
Reducing the run-time complexity of support vector machines
E Osuna, F Girosi
International Conference on Pattern Recognition (submitted), 1998
Demographic forecasting
F Girosi, G King
Demographic Forecasting, 2018
Priors stabilizers and basis functions: From regularization to radial, tensor and additive splines
F Girosi, M Jones, T Poggio
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