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检索条件"主题词=Variational autoencoder"
1537 条 记 录,以下是451-460 订阅
排序:
Motor Fault Detection and Feature Extraction Using RNN-Based variational autoencoder
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IEEE ACCESS 2019年 7卷 139086-139096页
作者: Huang, Yang Chen, Chiun-Hsun Huang, Chi-Jui Natl Chiao Tung Univ Inst Informat Management Hsinchu 30010 Taiwan Natl Chiao Tung Univ Dept Mech Engn Hsinchu 30010 Taiwan
In most of the fault detection methods, the time domain signals collected from the mechanical equipment usually need to be transformed into frequency domain or other high-level data, highly relying on professional kno... 详细信息
来源: 评论
Connections with Robust PCA and the Role of Emergent Sparsity in variational autoencoder Models
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JOURNAL OF MACHINE LEARNING RESEARCH 2018年 第1期19卷 1573-1614页
作者: Dai, Bin Wang, Yu Aston, John Hua, Gang Wipf, David Tsinghua Univ Inst Adv Study Beijing Peoples R China Univ Cambridge Dept Pure Math & Math Stat Cambridge England Microsoft Res Redmond WA USA Microsoft Res Beijing Peoples R China
variational autoencoders (VAE) represent a popular, flexible form of deep generative model that can be stochastically fit to samples from a given random process using an information-theoretic variational bound on the ... 详细信息
来源: 评论
Constructing Dynamic Topic Models Based on variational autoencoder and Factor Graph
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IEEE ACCESS 2018年 6卷 53102-53111页
作者: Gou, Zhinan Han, Lixin Sun, Ling Zhu, Jun Yan, Hong Hohai Univ Coll Comp & Informat Nanjing 211100 Jiangsu Peoples R China Nanjing Univ Sci & Technol Zijin Coll Coll Comp Sci Nanjing 210023 Jiangsu Peoples R China City Univ Hong Kong Dept Elect Engn Hong Kong Hong Kong Peoples R China
Topic models are widely used in various fields of machine learning and statistics. Among them, the dynamic topic model (DTM) is the most popular time-series topic model for the dynamic representations of text corpora.... 详细信息
来源: 评论
variational-autoencoder signal detection for MIMO-OFDM-IM
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DIGITAL SIGNAL PROCESSING 2021年 118卷 103230-103230页
作者: Zhao, Tianyu Li, Feng Xi An Jiao Tong Univ Sch Informat & Commun Engn Fac Elect & Informat Engn Xian 710049 Shaanxi Peoples R China
This paper proposes a deep learning (DL) based method for signal detection in multiple-input multiple-output orthogonal frequency division multiplexing with index modulation (MIMO-OFDM-IM) systems using variational au... 详细信息
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PuVAE: A variational autoencoder to Purify Adversarial Examples
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IEEE ACCESS 2019年 7卷 126582-126593页
作者: Hwang, Uiwon Park, Jaewoo Jang, Hyemi Yoon, Sungroh Cho, Nam Ik Seoul Natl Univ Elect & Comp Engn Seoul 08826 South Korea Seoul Natl Univ INMC Dept Elect & Comp Engn Seoul 08826 South Korea
Deep neural networks are widely used and exhibit excellent performance in many areas. However, they are vulnerable to adversarial attacks that compromise networks at inference time by applying elaborately designed per... 详细信息
来源: 评论
Latent Space Expanded variational autoencoder for Sentence Generation
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IEEE ACCESS 2019年 7卷 144618-144627页
作者: Song, Tianbao Sun, Jingbo Chen, Bo Peng, Weiming Song, Jihua Beijing Normal Univ Coll Informat Sci & Technol Beijing 100875 Peoples R China
Sentence generation is a key task in many natural language processing systems. Models based on a variational autoencoder (VAE) can generate plausible sentences from a continuous latent space. However, the VAE forces t... 详细信息
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Degradation assessment for the ball screw with variational autoencoder and kernel density estimation
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ADVANCES IN MECHANICAL ENGINEERING 2018年 第9期10卷
作者: Wen, Juan Gao, Hongli Southwest Jiaotong Univ Sch Mech Engn 111North 1st2nd Ring Rd Chengdu 610031 Sichuan Peoples R China
The ball screw is an important component of machine tools, and its degradation assessment is therefore critical for the health management of the entire machine tool. Generally, the degradation assessment includes heal... 详细信息
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The Optimally Designed variational autoencoder Networks for Clustering and Recovery of Incomplete Multimedia Data
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SENSORS 2019年 第4期19卷 809-809页
作者: Yu, Xiulan Li, Hongyu Zhang, Zufan Gan, Chenquan Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing 400065 Peoples R China
Clustering analysis of massive data in wireless multimedia sensor networks (WMSN) has become a hot topic. However, most data clustering algorithms have difficulty in obtaining latent nonlinear correlations of data fea... 详细信息
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Adversarial variational autoencoder for Top-N Recommender Systems  9
Adversarial Variational Autoencoder for Top-N Recommender Sy...
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9th IEEE International Conference on Software Engineering and Service Science (ICSESS)
作者: Zhang, Guijuan Liu, Yang Jin, Xiaoning Beijing Univ Technol Beijing Adv Innovat Ctr Future Internet Technol Beijing Peoples R China
Recommender systems play an important role in the age of mass information. They allow users to discover items that match their tastes. In this paper, we propose a novel method, called adversarial variational autoencod... 详细信息
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The Dreaming variational autoencoder for Reinforcement Learning Environments  38th
The Dreaming Variational Autoencoder for Reinforcement Learn...
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38th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (AI)
作者: Andersen, Per-Arne Goodwin, Morten Granmo, Ole-Christoffer Univ Agder Dept ICT Grimstad Norway
Reinforcement learning has shown great potential in generalizing over raw sensory data using only a single neural network for value optimization. There are several challenges in the current state-of-the-art reinforcem... 详细信息
来源: 评论