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Graph Regularized Auto-Encoders for Image Representation
IEEE Transactions on Image Processing, 2017Image representation has been intensively explored in the domain of computer vision for its significant influence on the relative tasks such as image clustering and classification. It is valuable to learn a low-dimensional representation of an image which preserves its inherent information from the original image space.
Yiyi Liao, Yue Wang, Yong Liu
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Brain Network Decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE)
2019Brain networks consist of nodes that are anatomically defined brain regions, and edges that connect a pair of brain regions. The diffusion-weighted magnetic resonance images and the advances in computer-aided tractography algorithms showed that human brain networks are strongly associated with cognitive functions.
Myungwon Choi +6 more
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2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2022
Kaiyue Lu +3 more
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Kaiyue Lu +3 more
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Adoption of AI-empowered industrial robots in auto component manufacturing companies
Production Planning and Control, 2022Marcello M Mariani +2 more
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Auto-deconvolution and molecular networking of gas chromatography–mass spectrometry data
Nature Biotechnology, 2020Alexander A Aksenov +2 more
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Cryo-EM Reveals How Human Cytoplasmic Dynein Is Auto-inhibited and Activated
Cell, 2017Kai Zhang +2 more
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