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ECCV
2000
Springer
15 years 11 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
EAAI
2008
116views more  EAAI 2008»
14 years 10 months ago
Robust neuro-identification of nonlinear plants in electric power systems with missing sensor measurements
Fault tolerant measurements are an essential requirement for system identification, control and protection. Measurements can be corrupted or interrupted due to sensor failure, bro...
Wei Qiao, Zhi Gao, Ronald G. Harley, Ganesh K. Ven...
IJCNN
2000
IEEE
15 years 2 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan
ICASSP
2011
IEEE
14 years 1 months ago
Switching linear dynamic transducer for stereo data based speech feature mapping
The performance of a speech recognition system may be degraded even without any background noise because of the linear or non-linear distortions incurred by recording devices or r...
Chang Woo Han, Tae Gyoon Kang, Doo Hwa Hong, Nam S...
ICNC
2005
Springer
15 years 3 months ago
A Time-Series Decomposed Model of Network Traffic
: Traffic behavior in a large-scale network can be viewed as a complicated non-linear system, so it is very difficult to describe the long-term network traffic behavior in a large-...
Guang Cheng, Jian Gong, Wei Ding 0001