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MICCAI
2004
Springer
15 years 10 months ago
Automatic Segmentation of Neonatal Brain MRI
This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying e...
Marcel Prastawa, John H. Gilmore, Weili Lin, Guido...
ICML
2009
IEEE
15 years 4 months ago
Using fast weights to improve persistent contrastive divergence
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
Tijmen Tieleman, Geoffrey E. Hinton
ICCV
2009
IEEE
14 years 7 months ago
Jointly estimating demographics and height with a calibrated camera
One important problem in computer vision is to provide a demographic description a person from an image. In practice, many of the state-of-the-art methods use only an analysis of ...
Andrew C. Gallagher, Andrew C. Blose, Tsuhan Chen
ICASSP
2009
IEEE
15 years 4 months ago
Improved subspace DoA estimation methods with large arrays: The deterministic signals case
This paper is devoted to the subspace DoA estimation using a large antennas array when the number of available snapshots is of the same order of magnitude than the number of senso...
Pascal Vallet, Philippe Loubaton, Xavier Mestre
NIPS
2007
14 years 11 months ago
A neural network implementing optimal state estimation based on dynamic spike train decoding
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
Omer Bobrowski, Ron Meir, Shy Shoham, Yonina C. El...