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检索条件"主题词=variational autoencoder"
1554 条 记 录,以下是1361-1370 订阅
Diabetes detection using deep learning techniques with oversampling and feature augmentation
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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021年 202卷 105968-105968页
作者: Garcia-Ordas, Maria Teresa Benavides, Carmen Benitez-Andrades, Jose Alberto Alaiz-Moreton, Hector Garcia-Rodriguez, Isaias Univ Leon Escuela Ingenierias Ind & Informat SECOMUCI Res Grp Campus Vegazana S-N Leon 24071 Spain Univ Leon SALBIS Res Grp Dept Elect Syst & Automat Engn Campus Vegazana S-N Leon 24071 Spain
Background and objective : Diabetes is a chronic pathology which is affecting more and more people over the years. It gives rise to a large number of deaths each year. Furthermore, many people living with the disease ... 详细信息
来源: 评论
variational Generative Adversarial Network with Crossed Spatial and Spectral Interactions for Hyperspectral Image Classification
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REMOTE SENSING 2021年 第16期13卷 3131-3131页
作者: Li, Zhongwei Zhu, Xue Xin, Ziqi Guo, Fangming Cui, Xingshuai Wang, Leiquan China Univ Petr East China Coll Oceanog & Space Informat Qingdao 266580 Peoples R China China Univ Petr East China Coll Comp Sci & Technol Qingdao 266580 Peoples R China
variational autoencoders (VAEs) and Generative Adversarial Networks (GANs) have been widely used in hyperspectral image classification (HSIC) tasks. However, the generated HSI virtual samples by VAEs are often ambiguo... 详细信息
来源: 评论
Stochastic variational inference for probabilistic optimal power flows
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ELECTRIC POWER SYSTEMS RESEARCH 2021年 200卷 107465-107465页
作者: Loschenbrand, Markus Sintef Energy Res Sem Saelands Vei 11 N-7034 Trondheim Norway
This paper applies a generative deep learning model, namely a variational autoencoder, on probabilistic optimal power flows. The model utilizes Gaussian approximations in order to adequately represent the distribution... 详细信息
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Semi-supervised face aging and rejuvenating
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JOURNAL OF ELECTRONIC IMAGING 2021年 第2期30卷 023003-023003页
作者: Ma, Wanyue Zhou, Yuan He, Jun Nanjing Univ Informat Sci & Technol Sch Elect & Informat Engn Nanjing Peoples R China Nanjing Univ Informat Sci & Technol Sch Artificial Intelligence Nanjing Peoples R China
Face aging and rejuvenating aim to generate an individual face with aging and rejuvenating effect while retaining identity information. We can analyze a given face image to estimate a past look or predict a future loo... 详细信息
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Normative ascent with local gaussians for unsupervised lesion detection
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MEDICAL IMAGE ANALYSIS 2021年 74卷 102208-102208页
作者: Chen, Xiaoran Pawlowski, Nick Glocker, Ben Konukoglu, Ender Swiss Fed Inst Technol Zurich Switzerland Imperial Coll London London England
Unsupervised abnormality detection is an appealing approach to identify patterns that are not present in training data without specific annotations for such patterns. In the medical imaging field, methods taking this ... 详细信息
来源: 评论
Amortized Mixture Prior for variational Sequence Generation
Amortized Mixture Prior for Variational Sequence Generation
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International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Chien, Jen-Tzung Tsai, Chih-Jung Natl Chiao Tung Univ Dept Elect & Comp Engn Hsinchu Taiwan
variational autoencoder (VAE) is a popular latent variable model for data generation. However, in natural language applications, VAE suffers from the posterior collapse in optimization procedure where the model poster... 详细信息
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LEARNING DISCRIMINATIVE LATENT FEATURES FOR GENERALIZED ZERO- AND FEW-SHOT LEARNING
LEARNING DISCRIMINATIVE LATENT FEATURES FOR GENERALIZED ZERO...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Huang, Yijie Deng, Zhenghong Wu, Tao Northwestern Polytech Univ Sch Automat Xian 710072 Peoples R China
Generalized zero-shot learning (GZSL) for image classification is a challenging task since not only training examples from novel classes are absent, but also classification performance is judged on both seen and unsee... 详细信息
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Synthesizing data by transferring information in data-intensive regions to enhance process monitoring performance in data-scarce region
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CANADIAN JOURNAL OF CHEMICAL ENGINEERING 2021年 第Sup1期99卷 S521-S539页
作者: Lyu, Yuting Chen, Junghui Song, Zhihuan Zhang, Qinghua Zhejiang Univ State Key Lab Ind Control Technol Hangzhou 310027 Zhejiang Peoples R China Chung Yuan Christian Univ Dept Chem Engn Chungli Taiwan Guangdong Univ Petrochem Technol Guangdong Prov Key Lab Petrochem Equipment Fault Maoming Peoples R China
Sufficient data are necessary for valid process monitoring results. However, modern industrial processes sometimes switch to new modes to meet the changes in market demand. The available data in such a new mode are in... 详细信息
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variational model for low-resource natural language generation in spoken dialogue systems
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COMPUTER SPEECH AND LANGUAGE 2021年 65卷 101120-101120页
作者: Van-Khanh Tran Le-Minh Nguyen Japan Adv Inst Sci & Technol JAIST 1-1 Asahidai Nomi Ishikawa 9231292 Japan ICTU Thai Nguyen Univ Univ Informat & Commun Technol Thai Nguyen Vietnam
Natural Language Generation (NLG) plays a critical role in Spoken Dialogue Systems (SDSs), aims at converting a meaning representation into natural language utterances. Recent deep learning-based generators have shown... 详细信息
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Recurrent variational autoencoders for Learning Nonlinear Generative Models in the Presence of Outliers
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IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 2018年 第6期12卷 1615-1627页
作者: Wang, Yu Dai, Bin Hua, Gang Aston, John Wipf, David Univ Cambridge Dept Pure Math & Stat Cambridge CB2 1TN England Tsinghua Univ Beijing 100084 Peoples R China Microsoft Res Redmond WA 98052 USA
This paper explores two useful modifications of the recent variational autoencoder (VAE), a popular deep generative modeling framework that dresses traditional autoencoders with probabilistic attire. The first involve... 详细信息
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