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» On the Use of Evidence in Neural Networks
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CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
15 years 8 months ago
Discrete-time sliding mode neural observer for continuous time mechanical systems
— This paper proposes a novel discrete­time veloc­ ity observer which uses neural network and sliding mode for unknown continuous time mechanical systems. The neural observer i...
Juan Resendiz, Wen Yu, Leonid M. Fridman
ICASSP
2008
IEEE
15 years 8 months ago
Recognition for synthesis: Automatic parameter selection for resynthesis of emotional speech from neutral speech
One of the biggest challenges in emotional speech resynthesis is the selection of modification parameters that will make humans perceive a targeted emotion. The best selection me...
Murtaza Bulut, Sungbok Lee, Shrikanth Narayanan
JDCTA
2010
126views more  JDCTA 2010»
14 years 8 months ago
Continuous Neural Decoding Method Based on General Regression Neural Network
Neural decoding is an important task for understanding how the biological nervous system performs computation and communication. This paper introduces a novel continuous neural de...
Jianhua Dai, Xiaochun Liu, Shaomin Zhang, Huaijian...
ICNS
2008
IEEE
15 years 8 months ago
Reliable Evidence of Data Integrity from an Untrusted Storage Service
Digital storage demand is growing with the increasing use of digital artifacts from media files to business documents. Regulatory frameworks ask for unaltered, durable storage of...
Claudius Stern, Philipp Adelt, Volker Krummel, Mar...
IJCNN
2006
IEEE
15 years 7 months ago
Bi-directional Modularity to Learn Visual Servoing Tasks
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
Gilles Hermann, Patrice Wira, Jean-Philippe Urban