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Yangming Li

Showing results (1-10 of 46) with videos related to

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Frontiers in Neurorobotics|March 13, 2023
Deep causal learning for robotic intelligenceYangming Li
IEEE Transactions on Cybernetics|November 5, 2013
Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester EquationShuai Li, Yangming Li
IEEE Robotics and Automation Letters|November 14, 2017
Gaussian Process Regression for Sensorless Grip Force Estimation of Cable Driven Elongated Surgical InstrumentsYangming Li, Blake Hannaford
Sensors (Basel, Switzerland)|December 14, 2011
A general purpose feature extractor for light detection and ranging dataYangming Li, Edwin B Olson
IEEE International Conference on Robotics and Automation : ICRA : [Proceedings]. IEEE International Conference on Robotics and Automation|August 2, 2021
A Novel Recurrent Neural Network for Improving Redundant Manipulator Motion Planning CompletenessYangming Li, Shuai Li, Blake Hannaford
IEEE Transactions on Industrial Informatics|December 31, 2019
A Model-Based Recurrent Neural Network With Randomness for Efficient Control With ApplicationsYangming Li, Shuai Li, Blake Hannaford
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Selective positive-negative feedback produces the winner-take-all competition in recurrent neural networksShuai Li, Bo Liu, Yangming Li
Neural Networks : the Official Journal of the International Neural Network Society|January 22, 2013
A class of finite-time dual neural networks for solving quadratic programming problems and its k-winners-take-all applicationShuai Li, Yangming Li, Zheng Wang
IEEE Transactions on Neural Networks and Learning Systems|January 27, 2016
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic PerspectiveShuai Li, Jinbo He, Yangming Li, et al.
Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (Conference)|May 25, 2022
Dense Depth Estimation from Stereo Endoscopy Videos Using Unsupervised Optical Flow MethodsZixin Yang, Richard Simon, Yangming Li, et al.
Pageof 5

Showing results (1-10 of 46) with videos related to

Sort By:
Pageof 5
Frontiers in Neurorobotics|March 13, 2023
Deep causal learning for robotic intelligenceYangming Li
IEEE Transactions on Cybernetics|November 5, 2013
Nonlinearly Activated Neural Network for Solving Time-Varying Complex Sylvester EquationShuai Li, Yangming Li
IEEE Robotics and Automation Letters|November 14, 2017
Gaussian Process Regression for Sensorless Grip Force Estimation of Cable Driven Elongated Surgical InstrumentsYangming Li, Blake Hannaford
Sensors (Basel, Switzerland)|December 14, 2011
A general purpose feature extractor for light detection and ranging dataYangming Li, Edwin B Olson
IEEE International Conference on Robotics and Automation : ICRA : [Proceedings]. IEEE International Conference on Robotics and Automation|August 2, 2021
A Novel Recurrent Neural Network for Improving Redundant Manipulator Motion Planning CompletenessYangming Li, Shuai Li, Blake Hannaford
IEEE Transactions on Industrial Informatics|December 31, 2019
A Model-Based Recurrent Neural Network With Randomness for Efficient Control With ApplicationsYangming Li, Shuai Li, Blake Hannaford
IEEE Transactions on Neural Networks and Learning Systems|May 9, 2014
Selective positive-negative feedback produces the winner-take-all competition in recurrent neural networksShuai Li, Bo Liu, Yangming Li
Neural Networks : the Official Journal of the International Neural Network Society|January 22, 2013
A class of finite-time dual neural networks for solving quadratic programming problems and its k-winners-take-all applicationShuai Li, Yangming Li, Zheng Wang
IEEE Transactions on Neural Networks and Learning Systems|January 27, 2016
Distributed Recurrent Neural Networks for Cooperative Control of Manipulators: A Game-Theoretic PerspectiveShuai Li, Jinbo He, Yangming Li, et al.
Medical Image Understanding and Analysis. Medical Image Understanding and Analysis (Conference)|May 25, 2022
Dense Depth Estimation from Stereo Endoscopy Videos Using Unsupervised Optical Flow MethodsZixin Yang, Richard Simon, Yangming Li, et al.
Pageof 5