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Dequan Jin

Showing results (1-10 of 6) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|September 14, 2015
Investigation on Amari's dynamical neural field with global constant inhibitionDequan Jin, Jigen Peng
Neural Computation|May 12, 2009
A new approach for estimating the attraction domain for Hopfield-type neural networksDequan Jin, Jigen Peng
Neural Computation|April 28, 2011
A new clustering approach on the basis of dynamical neural fieldDequan Jin, Jigen Peng, Bin Li
Neural Computation|November 30, 2020
A Novel Neural Model With Lateral Interaction for Learning TasksDequan Jin, Ziyan Qin, Murong Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 21, 2021
A Weighting Method for Feature Dimension by Semisupervised Learning With EntropyDequan Jin, Murong Yang, Ziyan Qin, et al.
Brain Sciences|August 28, 2025
Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural FieldsJiayi Su, Lifeng Xing, Tao Li, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|September 14, 2015
Investigation on Amari's dynamical neural field with global constant inhibitionDequan Jin, Jigen Peng
Neural Computation|May 12, 2009
A new approach for estimating the attraction domain for Hopfield-type neural networksDequan Jin, Jigen Peng
Neural Computation|April 28, 2011
A new clustering approach on the basis of dynamical neural fieldDequan Jin, Jigen Peng, Bin Li
Neural Computation|November 30, 2020
A Novel Neural Model With Lateral Interaction for Learning TasksDequan Jin, Ziyan Qin, Murong Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems|September 21, 2021
A Weighting Method for Feature Dimension by Semisupervised Learning With EntropyDequan Jin, Murong Yang, Ziyan Qin, et al.
Brain Sciences|August 28, 2025
Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural FieldsJiayi Su, Lifeng Xing, Tao Li, et al.
Pageof 1