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检索条件"主题词=Variational autoencoder"
1537 条 记 录,以下是461-470 订阅
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Stellar Cluster Detection using GMM with Deep variational autoencoder
Stellar Cluster Detection using GMM with Deep Variational Au...
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IEEE Conference on Recent Advances in Intelligent Computational Systems (RAICS)
作者: Karmakar, Arnab Mishra, Deepak Tej, Anandmayee Indian Inst Space Sci & Technol Dept Avion Trivandrum Kerala India Indian Inst Space Sci & Technol Dept Earth Ans Space Sci Trivandrum Kerala India
Detecting stellar clusters have always been an important research problem in Astronomy. Although images do not convey very detailed information in detecting stellar density enhancements, we attempt to understand if ne... 详细信息
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A Unified Unsupervised Gaussian Mixture variational autoencoder for High Dimensional Outlier Detection
A Unified Unsupervised Gaussian Mixture Variational Autoenco...
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IEEE International Conference on Big Data (Big Data)
作者: Liao, Weixian Guo, Yifan Chen, Xuhui Li, Pan Towson Univ Dept Comp & Informat Sci Towson MD 20252 USA Case Western Reserve Univ Dept Elect Engn & Comp Sci Cleveland OH 44106 USA
Paradigm-shifting systems such as cyber-physical systems, collect data of high-or ultrahigh-dimensionality tremendously. Detecting outliers in this type of systems provides indicative understanding in wide-ranging dom... 详细信息
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A Method to Inspect the Implementation of Electricity Price Based on Deep Learning variational autoencoder  2
A Method to Inspect the Implementation of Electricity Price ...
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2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)
作者: Gao, Xiying Ye, Ning Song, Jinchun Wang, Haomiao Zhang, Ye Guan, Yan Song, Xiaowen Cai, Yingkai Zhang, Wenshu Hui, Qian Li, Dan State Grid Liaoning Elect Power Res Inst Shenyang Liaoning Peoples R China Northeastern Univ Sch Mech Engn & Automat Shenyang Liaoning Peoples R China State Grid Liaoning Elect Power Mkt Dept Shenyang Liaoning Peoples R China State Grid Liaoning Elect Power Res Inst Shenyang Liaoning Peoples R China State Grid Liaoyang Elect Power B&E Off Liaoyang Peoples R China
In this paper, we propose a method for performing electricity price execution inspection by using a variational autoencoder technology in deep learning. The variational autoencoder based anomaly detection algorithm(VA... 详细信息
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Squeezed Convolutional variational autoencoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things
Squeezed Convolutional Variational AutoEncoder for Unsupervi...
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International Conference on Information and Computer Technologies (ICICT)
作者: Kim, Dohyung Yang, Hyochang Chung, Minki Cho, Sungzoon Kim, Huijung Kim, Minhee Kim, Kyungwon Kim, Eunseok Seoul Natl Univ Dept Ind Engn Data Min Ctr Seoul South Korea Samsung Elect Co Ltd Data Analyt Lab Software R&D Ctr Seoul South Korea
In this paper, we propose Squeezed Convolutional variational autoencoder (SCVAE) for anomaly detection in time series data for Edge Computing in Industrial Internet of Things (IIoT). The proposed model is applied to l... 详细信息
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STATISTICAL SPEECH ENHANCEMENT BASED ON PROBABILISTIC INTEGRATION OF variational autoencoder AND NON-NEGATIVE MATRIX FACTORIZATION
STATISTICAL SPEECH ENHANCEMENT BASED ON PROBABILISTIC INTEGR...
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IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Bando, Yoshiaki Mimura, Masato Itoyama, Katsutoshi Yoshii, Kazuyoshi Kawahara, Tatsuya Kyoto Univ Grad Sch Informat Sakyo Ku Kyoto 6068501 Japan RIKEN Ctr Adv Intelligence Project Chuo Ku Tokyo 1030027 Japan
This paper presents a statistical method of single-channel speech enhancement that uses a variational autoencoder (VAE) as a prior distribution on clean speech. A standard approach to speech enhancement is to train a ... 详细信息
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Laser variational autoencoder for map construction and self-localization
Laser variational autoencoder for map construction and self-...
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IEEE International Conference on Systems, Man, and Cybernetics (SMC)
作者: Wakita, Shohei Nakamura, Takayuki Hachiya, Hirotaka Wakayama Univ Fac Syst Engn 930 Sakaedani Wakayama 6408510 Japan
For accurate global self-localization with small memory usage, researches for the compression of the laser-scan data have been actively conducted. Main approaches to the compression are to design feature extractor bas... 详细信息
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Learning Community Structure with variational autoencoder  18
Learning Community Structure with Variational Autoencoder
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18th IEEE International Conference on Data Mining Workshops (ICDMW)
作者: Choong, Jun Jin Liu, Xin Murata, Tsuyoshi Tokyo Inst Technol Dept Comp Sci Tokyo Japan Natl Inst Adv Ind Sci & Technol Tokyo Japan
Discovering community structure in networks remains a fundamentally challenging task. From scientific domains such as biology, chemistry and physics to social networks the challenge of identifying community structures... 详细信息
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Linked Causal variational autoencoder for Inferring Paired Spillover Effects  18
Linked Causal Variational Autoencoder for Inferring Paired S...
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27th ACM International Conference on Information and Knowledge Management (CIKM)
作者: Rakesh, Vineeth Guo, Ruocheng Moraffah, Raha Agarwal, Nitin Liu, Huan Arizona State Univ Tempe AZ 85287 USA Univ Arkansas Little Rock AR 72204 USA
Modeling spillover effects from observational data is an important problem in economics, business, and other fields of research. It helps us infer the causality between two seemingly unrelated set of events. For examp... 详细信息
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Facial Image Inpainting with variational autoencoder
Facial Image Inpainting with Variational Autoencoder
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IEEE International Conference of Intelligent Robotic and Control Engineering (IRCE)
作者: Ching-Ting Tu Yi-Fu Chen Department of Applied Mathematics National Chung Hsing University Taichung City Taiwan Dept. of Computer Science and Information Engineering Tamkang University New Taipei City Taiwan
This paper proposed a learning-based approach to reveal diversity possible appearances under the missing area of an occluded unseen image. In general, there are a lot of possible facial appearances for the missing are... 详细信息
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Optimizing variational Graph autoencoder for Community Detection
Optimizing Variational Graph Autoencoder for Community Detec...
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IEEE International Conference on Big Data (Big Data)
作者: Choong, Jun Jin Liu, Xin Murata, Tsuyoshi Tokyo Inst Technol Dept Comp Sci Tokyo Japan Natl Inst Adv Ind Sci & Technol Tokyo Japan
variational Graph autoencoders (VGAE) has recently been a popular framework of choice for learning representations on graphs. Its inception has allowed models to achieve state-of-the-art performances for challenging t... 详细信息
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