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Junbin Gao

Showing results (1-10 of 116) with videos related to

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Neural Computation|November 30, 2007
Robust L1 principal component analysis and its Bayesian variational inferenceJunbin Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 13, 2021
Improved Variance Reduction Methods for Riemannian Non-Convex OptimizationAndi Han, Junbin Gao
IEEE Transactions on Neural Networks and Learning Systems|April 11, 2020
Robust Functional Manifold ClusteringYi Guo, Stephen Tierney, Junbin Gao
Neural Networks : the Official Journal of the International Neural Network Society|June 30, 2019
Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detectionMeilu Zhu, Daming Shi, Junbin Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Laplacian Regularized Low-Rank Representation and Its ApplicationsMing Yin, Junbin Gao, Zhouchen Lin
Neural Networks : the Official Journal of the International Neural Network Society|July 3, 2007
Significant vector learning to construct sparse kernel regression modelsJunbin Gao, Daming Shi, Xiaomao Liu
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 28, 2019
Parametric Classification of Bingham Distributions Based on Grassmann ManifoldsMuhammad Ali, Junbin Gao, Michael Antolovich
IEEE Transactions on Neural Networks|November 26, 2009
Relevance units latent variable model and nonlinear dimensionality reductionJunbin Gao, Jun Zhang, David Tien
Neural Networks : the Official Journal of the International Neural Network Society|July 17, 2009
Sparse kernel learning with LASSO and Bayesian inference algorithmJunbin Gao, Paul W Kwan, Daming Shi
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 21, 2008
Twin kernel embeddingYi Guo, Junbin Gao, Paul W Kwan
Pageof 12

Showing results (1-10 of 116) with videos related to

Sort By:
Pageof 12
Neural Computation|November 30, 2007
Robust L1 principal component analysis and its Bayesian variational inferenceJunbin Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 13, 2021
Improved Variance Reduction Methods for Riemannian Non-Convex OptimizationAndi Han, Junbin Gao
IEEE Transactions on Neural Networks and Learning Systems|April 11, 2020
Robust Functional Manifold ClusteringYi Guo, Stephen Tierney, Junbin Gao
Neural Networks : the Official Journal of the International Neural Network Society|June 30, 2019
Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detectionMeilu Zhu, Daming Shi, Junbin Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 6, 2016
Laplacian Regularized Low-Rank Representation and Its ApplicationsMing Yin, Junbin Gao, Zhouchen Lin
Neural Networks : the Official Journal of the International Neural Network Society|July 3, 2007
Significant vector learning to construct sparse kernel regression modelsJunbin Gao, Daming Shi, Xiaomao Liu
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|June 28, 2019
Parametric Classification of Bingham Distributions Based on Grassmann ManifoldsMuhammad Ali, Junbin Gao, Michael Antolovich
IEEE Transactions on Neural Networks|November 26, 2009
Relevance units latent variable model and nonlinear dimensionality reductionJunbin Gao, Jun Zhang, David Tien
Neural Networks : the Official Journal of the International Neural Network Society|July 17, 2009
Sparse kernel learning with LASSO and Bayesian inference algorithmJunbin Gao, Paul W Kwan, Daming Shi
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 21, 2008
Twin kernel embeddingYi Guo, Junbin Gao, Paul W Kwan
Pageof 12