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Cornelius Weber

Showing results (1-10 of 19) with videos related to

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Frontiers in Neurorobotics|September 10, 2010
How do we approach intrinsic motivation computationallyCornelius Weber
Neural Computation|January 16, 2008
A sparse generative model of V1 simple cells with intrinsic plasticityCornelius Weber, Jochen Triesch
Neural Networks : the Official Journal of the International Neural Network Society|December 15, 2005
A hybrid generative and predictive model of the motor cortexCornelius Weber, Stefan Wermter, Mark Elshaw
Frontiers in Neurorobotics|October 11, 2013
Learning indoor robot navigation using visual and sensorimotor map informationWenjie Yan, Cornelius Weber, Stefan Wermter
Neural Networks : the Official Journal of the International Neural Network Society|July 21, 2009
Goal-directed learning of features and forward modelsSohrab Saeb, Cornelius Weber, Jochen Triesch
IEEE Transactions on Neural Networks and Learning Systems|July 22, 2022
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip ReadingLeyuan Qu, Cornelius Weber, Stefan Wermter
Plos Computational Biology|November 11, 2011
Learning the optimal control of coordinated eye and head movementsSohrab Saeb, Cornelius Weber, Jochen Triesch
Neural Networks : the Official Journal of the International Neural Network Society|February 22, 2023
Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognitionLeyuan Qu, Cornelius Weber, Stefan Wermter
Frontiers in Neurorobotics|June 25, 2015
Self-organizing neural integration of pose-motion features for human action recognitionGerman I Parisi, Cornelius Weber, Stefan Wermter
Neural Networks : the Official Journal of the International Neural Network Society|November 10, 2015
Multimodal emotional state recognition using sequence-dependent deep hierarchical featuresPablo Barros, Doreen Jirak, Cornelius Weber, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Frontiers in Neurorobotics|September 10, 2010
How do we approach intrinsic motivation computationallyCornelius Weber
Neural Computation|January 16, 2008
A sparse generative model of V1 simple cells with intrinsic plasticityCornelius Weber, Jochen Triesch
Neural Networks : the Official Journal of the International Neural Network Society|December 15, 2005
A hybrid generative and predictive model of the motor cortexCornelius Weber, Stefan Wermter, Mark Elshaw
Frontiers in Neurorobotics|October 11, 2013
Learning indoor robot navigation using visual and sensorimotor map informationWenjie Yan, Cornelius Weber, Stefan Wermter
Neural Networks : the Official Journal of the International Neural Network Society|July 21, 2009
Goal-directed learning of features and forward modelsSohrab Saeb, Cornelius Weber, Jochen Triesch
IEEE Transactions on Neural Networks and Learning Systems|July 22, 2022
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip ReadingLeyuan Qu, Cornelius Weber, Stefan Wermter
Plos Computational Biology|November 11, 2011
Learning the optimal control of coordinated eye and head movementsSohrab Saeb, Cornelius Weber, Jochen Triesch
Neural Networks : the Official Journal of the International Neural Network Society|February 22, 2023
Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognitionLeyuan Qu, Cornelius Weber, Stefan Wermter
Frontiers in Neurorobotics|June 25, 2015
Self-organizing neural integration of pose-motion features for human action recognitionGerman I Parisi, Cornelius Weber, Stefan Wermter
Neural Networks : the Official Journal of the International Neural Network Society|November 10, 2015
Multimodal emotional state recognition using sequence-dependent deep hierarchical featuresPablo Barros, Doreen Jirak, Cornelius Weber, et al.
Pageof 2