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ORCIDJoão F. G. de Freitas
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2000 – 2009
- 2002
[c7]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
- [j3]João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee:
Hierarchical Bayesian Models for Regularization in Sequential Learning. Neural Comput. 12(4): 933-953 (2000) - [j2]João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee, Arnaud Doucet:
Sequential Monte Carlo Methods to Train Neural Network Models. Neural Comput. 12(4): 955-993 (2000) - [j1]João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee:
Dynamic Learning with the EM Algorithm for Neural Networks. J. VLSI Signal Process. 26(1-2): 119-131 (2000)
1990 – 1999
- 1999
- [c6]João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee:
Hybrid sequential Monte Carlo/Kalman methods to train neural networks in non-stationary environments. ICASSP 1999: 1057-1060 - [c5]Christophe Andrieu, João F. G. de Freitas, Arnaud Doucet:
Robust Full Bayesian Methods for Neural Networks. NIPS 1999: 379-385 - [c4]Gavin Smith, João F. G. de Freitas, Tony Robinson, Mahesan Niranjan:
Speech Modelling Using Subspace and EM Techniques. NIPS 1999: 796-802 - 1998
- [c3]João F. G. de Freitas, Sue E. Johnson, Mahesan Niranjan, Andrew H. Gee:
Global optimisation of neural network models via sequential sampling-importance resampling. ICSLP 1998 - [c2]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
- [c1]João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee:
Regularisation in Sequential Learning Algorithms. NIPS 1997: 458-464
Coauthor Index
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