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检索条件"主题词=Variational autoencoder"
1569 条 记 录,以下是731-740 订阅
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Modality Completion via Gaussian Process Prior variational autoencoders for Multi-modal Glioma Segmentation  24th
Modality Completion via Gaussian Process Prior Variational A...
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International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)
作者: Hamghalam, Mohammad Frangi, Alejandro F. Lei, Baiying Simpson, Amber L. Queens Univ Sch Comp Kingston ON Canada Islamic Azad Univ Fac Elect Qazvin Branch Qazvin Iran Queens Univ Dept Biomed & Mol Sci Kingston ON Canada Univ Leeds CISTIB Ctr Computat Imaging & Simulat Technol Bio Sch Comp Leeds LS2 9LU W Yorkshire England LICAMM Leeds Inst Cardiovasc & Metab Med Sch Med Leeds LS2 9LU W Yorkshire England Katholieke Univ Leuven Med Imaging Res Ctr MIRC Univ Hosp Gasthuisberg Herestr 49 B-3000 Leuven Belgium Shenzhen Univ Hlth Sci Ctr Sch Biomed EngnGuangdong Key Lab Biomed Measurem Natl Reg Key Technol Engn Lab Med Ultrasound Shenzhen Peoples R China
In large studies involving multi protocol Magnetic Resonance Imaging (MRI), it can occur to miss one or more sub-modalities for a given patient owing to poor quality (e.g. imaging artifacts), failed acquisitions, or h... 详细信息
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Towards Evaluating the Representation Learned by variational autoencoders  60
Towards Evaluating the Representation Learned by Variational...
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60th Annual Conference of the Society-of-Instrument-and-Control-Engineers-of-Japan (SICE)
作者: Ueda, Tatsuya Vargas, Danilo Vasconcellos Kyushu Univ Grad Sch Informat Sci & Elect Engn Fukuoka Japan Kyushu Univ Fac Informat Sci & Elect Engn Fukuoka Japan
At the heart of a deep neural network is representation learning with complex latent variables. This representation learning has been improved by disentangled representations and the idea of regularization terms. Howe... 详细信息
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PiCo-VITS: Leveraging Pitch Contours for Fine-Grained Emotional Speech Synthesis  27th
PiCo-VITS: Leveraging Pitch Contours for Fine-Grained Emotio...
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27th International Conference on Text, Speech, and Dialogue (TSD)
作者: Wong, Kwan-yeung Chung, Fu-lai Hong Kong Polytech Univ Hong Kong Peoples R China
Text-to-speech (TTS) research has made significant progress in achieving human-like interpretability. Yet, a noticeable research gap persists regarding emotional expressiveness in synthesized speech. While some existi... 详细信息
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Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation
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NEURAL NETWORKS 2023年 161卷 614-625页
作者: Wang, Qian Meng, Fanlin Breckon, Toby P. Univ Durham Dept Comp Sci Durham England Univ Manchester Alliance Manchester Business Sch Manchester England Univ Durham Dept Engn Durham England
We address the Unsupervised Domain Adaptation (UDA) problem in image classification from a new perspective. In contrast to most existing works which either align the data distributions or learn domain-invariant featur... 详细信息
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Category-Stitch Learning for Union Domain Generalization
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ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 2023年 第1期19卷 25-25页
作者: Liu, Yajing Xiong, Zhiwei Li, Ya Lu, Yuning Tian, Xinmei Zha, Zheng-Jun Univ Sci & Technol China 443 Huangshan Rd Hefei 230027 Peoples R China iFLYTEK Res 666 Wangjiang West Rd Hefei 230088 Peoples R China
Domain generalization aims at generalizing the network trained on multiple domains to unknown but related domains. Under the assumption that different domains share the same classes, previous works can build relations... 详细信息
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Generative Text Convolutional Neural Network for Hierarchical Document Representation Learning
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2023年 第4期45卷 4586-4604页
作者: Wang, Chaojie Chen, Bo Duan, Zhibin Chen, Wenchao Zhang, Hao Zhou, Mingyuan Xidian Univ Nation Lab Radar Signal Proc Xian 710071 Shaanxi Peoples R China Univ Texas Austin McCombs Sch Business Austin TX 78712 USA
For document analysis, existing methods often resort to the document representation that either discards the word order information or projects each word into a low-dimensional dense embedding vector. However, confine... 详细信息
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Optimization of VAE-CGAN structure for missing time-series data complementation of UAV jujube garden aerial surveys
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TURKISH JOURNAL OF AGRICULTURE AND FORESTRY 2023年 第5期47卷 746-760页
作者: Ling, Shunkang Wang, Nianyi Li, Jingbin Ding, Longpeng Shihezi Univ Coll Mech & Elect Engn Shihezi Peoples R China Xinjiang Prod & Construct Corps Key Lab Modern Agr Machinery Shihezi Peoples R China
UAV aerial survey technology has been widely used in agricultural production, in the aerial survey mission sensor by signal interference, environmental changes and other factors will have the problem of missing flight... 详细信息
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Deep reinforcement learning for data-efficient weakly supervised business process anomaly detection
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JOURNAL OF BIG DATA 2023年 第1期10卷 33页
作者: Elaziz, Eman Abd Fathalla, Radwa Shaheen, Mohamed Arab Acad Sci Technol & Maritime Transport Coll Comp & Informat Technol Alexandria Egypt
The detection of anomalous behavior in business process data is a crucial task for preventing failures that may jeopardize the performance of any organization. Supervised learning techniques are impracticable because ... 详细信息
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Out-of-Distribution Data Generation for Fault Detection and Diagnosis in Industrial Systems
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IEEE ACCESS 2023年 11卷 135061-135073页
作者: Kafunah, Jefkine Verma, Priyanka Ali, Muhammad Intizar Breslin, John G. Univ Galway Sch Engn Galway H91 TK33 Ireland Univ Galway Data Sci Inst Galway H91 TK33 Ireland Dublin City Univ Sch Elect Engn Dublin 9 Ireland
The emergence of Industry 4.0 has transformed modern-day factories into high-tech industrial sites through rapid automation and increased access to real-time data. Deep learning approaches possessing superior capabili... 详细信息
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Hyperspectral Unmixing Network Accounting for Spectral Variability Based on a Modified Scaled and a Perturbed Linear Mixing Model
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REMOTE SENSING 2023年 第15期15卷 3890-3890页
作者: Cheng, Ying Zhao, Liaoying Chen, Shuhan Li, Xiaorun Hangzhou Dianzi Univ Comp & Software Sch Hangzhou 310018 Peoples R China Zhejiang Univ Dept Elect Engn Hangzhou 310027 Peoples R China
Spectral unmixing is one of the prime topics in hyperspectral image analysis, as images often contain multiple sources of spectra. Spectral variability is one of the key factors affecting unmixing accuracy, since spec... 详细信息
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