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Zhouchen Lin

Showing results (41-50 of 76) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|July 4, 2024
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep ModelsXingyu Xie, Pan Zhou, Huan Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 6, 2021
Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and BeyondRisheng Liu, Jiaxin Gao, Jin Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 22, 2019
Tensor Low-Rank Representation for Data Recovery and ClusteringPan Zhou, Canyi Lu, Jiashi Feng, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 22, 2022
Tensor Recovery With Weighted Tensor Average RankXiaoqin Zhang, Jingjing Zheng, Li Zhao, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 12, 2014
A regularized approach for geodesic-based semisupervised multimanifold learningMingyu Fan, Xiaoqin Zhang, Zhouchen Lin, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 20, 2024
Sampling complex topology structures for spiking neural networksShen Yan, Qingyan Meng, Mingqing Xiao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Subspace Clustering by Block Diagonal RepresentationCanyi Lu, Jiashi Feng, Zhouchen Lin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 29, 2015
Dual Graph Regularized Latent Low-Rank Representation for Subspace ClusteringMing Yin, Junbin Gao, Zhouchen Lin, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 3, 2023
SPIDE: A purely spike-based method for training feedback spiking neural networksMingqing Xiao, Qingyan Meng, Zongpeng Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 8, 2017
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and ApplicationsFanhua Shang, James Cheng, Yuanyuan Liu, et al.
Pageof 8

Showing results (41-50 of 76) with videos related to

Sort By:
Pageof 8
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 4, 2024
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep ModelsXingyu Xie, Pan Zhou, Huan Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 6, 2021
Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and BeyondRisheng Liu, Jiaxin Gao, Jin Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 22, 2019
Tensor Low-Rank Representation for Data Recovery and ClusteringPan Zhou, Canyi Lu, Jiashi Feng, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 22, 2022
Tensor Recovery With Weighted Tensor Average RankXiaoqin Zhang, Jingjing Zheng, Li Zhao, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 12, 2014
A regularized approach for geodesic-based semisupervised multimanifold learningMingyu Fan, Xiaoqin Zhang, Zhouchen Lin, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 20, 2024
Sampling complex topology structures for spiking neural networksShen Yan, Qingyan Meng, Mingqing Xiao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Subspace Clustering by Block Diagonal RepresentationCanyi Lu, Jiashi Feng, Zhouchen Lin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 29, 2015
Dual Graph Regularized Latent Low-Rank Representation for Subspace ClusteringMing Yin, Junbin Gao, Zhouchen Lin, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 3, 2023
SPIDE: A purely spike-based method for training feedback spiking neural networksMingqing Xiao, Qingyan Meng, Zongpeng Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 8, 2017
Bilinear Factor Matrix Norm Minimization for Robust PCA: Algorithms and ApplicationsFanhua Shang, James Cheng, Yuanyuan Liu, et al.
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