| 2002 |
|---|
| 8 | EE | Pinar Duygulu,
Kobus Barnard,
João F. G. de Freitas,
David A. Forsyth:
Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary.
ECCV (4) 2002: 97-112 |
| 2000 |
|---|
| 7 | | João F. G. de Freitas,
Mahesan Niranjan,
Andrew H. Gee:
Hierarchical Bayesian Models for Regularization in Sequential Learning.
Neural Computation 12(4): 933-953 (2000) |
| 6 | | João F. G. de Freitas,
Mahesan Niranjan,
Andrew H. Gee,
Arnaud Doucet:
Sequential Monte Carlo Methods to Train Neural Network Models.
Neural Computation 12(4): 955-993 (2000) |
| 5 | EE | João F. G. de Freitas,
Mahesan Niranjan,
Andrew H. Gee:
Dynamic Learning with the EM Algorithm for Neural Networks.
VLSI Signal Processing 26(1-2): 119-131 (2000) |
| 1999 |
|---|
| 4 | EE | Christophe Andrieu,
João F. G. de Freitas,
Arnaud Doucet:
Robust Full Bayesian Methods for Neural Networks.
NIPS 1999: 379-385 |
| 3 | EE | Gavin Smith,
João F. G. de Freitas,
Tony Robinson,
Mahesan Niranjan:
Speech Modelling Using Subspace and EM Techniques.
NIPS 1999: 796-802 |
| 1998 |
|---|
| 2 | EE | João F. G. de Freitas,
Mahesan Niranjan,
Arnaud Doucet,
Andrew H. Gee:
Global Optimisation of Neural Network Models via Sequential Sampling.
NIPS 1998: 410-416 |
| 1997 |
|---|
| 1 | | João F. G. de Freitas,
Mahesan Niranjan,
Andrew H. Gee:
Regularisation in Sequential Learning Algorithms.
NIPS 1997 |
