Results 1 to 10 of about 20 (20)

MR‐DCAE: Manifold regularization‐based deep convolutional autoencoder for unauthorized broadcasting identification

International Journal of Intelligent Systems, 2021
Deliang Zhang, Penghui Zhao, Hongjun Wang   +2 more
exaly  

Learning Deep Multimanifold Structure Feature Representation for Quality Prediction With an Industrial Application

IEEE Transactions on Industrial Informatics, 2022
Chenliang Liu, Kai Wang, Yalin Wang
exaly  

Constructing Dynamic Brain Functional Networks via Hyper-Graph Manifold Regularization for Mild Cognitive Impairment Classification

Frontiers in Neuroscience, 2021
Haifeng Shi, Zhuqing Jiao, Shuihua Wang
exaly  

Image reconstruction by domain-transform manifold learning

Nature, 2018
Bruce R Rosen, Matthew S Rosen
exaly  

Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

IEEE Transactions on Image Processing, 2010
Feiping Nie, Dong Xu, Ivor W Tsang
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Riemannian Manifold Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
Hongbin Zha
exaly  

Ensemble Manifold Regularization

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Dacheng Tao
exaly  

New strategies for some issues of numerical manifold method in simulation of crack propagation

International Journal for Numerical Methods in Engineering, 2014
Dongdong Xu, Hong Zheng
exaly  

Adaptive Manifold Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Zhenyue Zhang, Jing Wang, Jing Wang
exaly  

Exploiting Clustering Manifold Structure for Hyperspectral Imagery Super-Resolution

IEEE Transactions on Image Processing, 2018
Lei Zhang, Wei Wei, Yanning Zhang
exaly