84 search results - page 4 / 17 » Two-Dimensional Phase Unwrapping Using Neural Networks |
NIPS
2008
13 years 8 months ago
2008
Randomly connected recurrent neural circuits have proven to be very powerful models for online computations when a trained memoryless readout function is appended. Such Reservoir ...
IJCSA
2007
13 years 7 months ago
2007
The main aim of this paper is to establish a reliable model both for the steady-state and unsteady-state regimes of a nonlinear process. The use of this model should reflect the t...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper describes the Arabic broadcast transcription system fielded by IBM in the GALE Phase 3.5 machine translation evaluation. Key advances compared to our Phase 2.5 system ...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
—This paper describes an approach to classification of noisy signals using a technique based on the fuzzy ARTMAP neural network (FAMNN). The proposed method is a modification of ...
ICANN
2005
Springer
14 years 29 days ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...