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检索条件"主题词=variational autoencoder"
1534 条 记 录,以下是1301-1310 订阅
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Adversarial Action Prediction Networks
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2020年 第3期42卷 539-553页
作者: Kong, Yu Tao, Zhiqiang Fu, Yun Rochester Inst Technol B Thomas Golisano Coll Comp & Informat Sci Rochester NY 14623 USA Northeastern Univ Dept ECE Boston MA 02115 USA Northeastern Univ Coll CIS Boston MA 02115 USA
Different from after-the-fact action recognition, action prediction task requires action labels to be predicted from partially observed videos containing incomplete action executions. It is challenging because these p... 详细信息
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Aligning Discriminative and Representative Features: An Unsupervised Domain Adaptation Method for Building Damage Assessment
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IEEE TRANSACTIONS ON IMAGE PROCESSING 2020年 29卷 6110-6122页
作者: Li, Yundong Hu, Wei Li, Hongguang Dong, Han Zhang, Baochang Tian, Qing North China Univ Technol Sch Informat Sci & Technol Beijing 100144 Peoples R China Beihang Univ Unmanned Syst Res Inst Beijing 100191 Peoples R China Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China
Building assessment is highly prioritized during rescue operations and damage relief after hurricane disasters. Although machine learning has made remarkable improvement in building damage classification, it remains c... 详细信息
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A Study of Inductive Biases for Unsupervised Speech Representation Learning
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IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2020年 28卷 2781-2795页
作者: Boulianne, Gilles Ctr Rech Informat Montreal CRIM Montreal PQ H3N 1M3 Canada Ecole Technol Super ETS Montreal PQ Canada
Distributed representations, or embeddings, are commonly learned without supervision on very large unannotated corpora for natural language processing. In speech processing, deep network-based representations such as ... 详细信息
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An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling
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COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 2020年 372卷 113375-113375页
作者: Cheng, M. Fang, F. Pain, C. C. Navon, I. M. Imperial Coll London Dept Earth Sci & Engn Appl Modelling & Computat Grp London SW7 2BP England Florida State Univ Dept Sci Comp Tallahassee FL 32306 USA
Considering the high computation cost required in conventional computation fluid dynamic simulations, machine learning methods have been introduced to flow dynamic simulations in years, aiming on reducing CPU time. In... 详细信息
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Semi-supervised Cavitation Detection for Centrifugal Pumps
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TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A 2022年 第2期46卷 153-162页
作者: Yoo, Donghwi Choi, Minseok Kim, Chungeon Oh, Hyunseok Gwangju Inst Sci & Technol Sch Mech Engn Gwangju South Korea
Cavitation is a dominant failure mode that accelerates the wear and deterioration of pumps. Cavitation can lead to pump malfunction and, eventually, catastrophic failure of the whole system. Therefore, it is important... 详细信息
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Cost-Sensitive variational Autoencoding Classifier for Imbalanced Data Classification
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ALGORITHMS 2022年 第5期15卷 139-139页
作者: Liu, Fen Qian, Quan Shanghai Univ Sch Comp Engn & Sci Shanghai 200444 Peoples R China Shanghai Univ Mat Genome Inst Shanghai 200444 Peoples R China Zhejiang Lab Hangzhou 311100 Peoples R China
Classification is among the core tasks in machine learning. Existing classification algorithms are typically based on the assumption of at least roughly balanced data classes. When performing tasks involving imbalance... 详细信息
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TLVANE: a two-level variation model for attributed network embedding
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NEURAL COMPUTING & APPLICATIONS 2020年 第9期32卷 4835-4847页
作者: Huang, Zhichao Li, Xutao Ye, Yunming Li, Feng Liu, Feng Yao, Yuan Harbin Inst Technol Shenzhen Key Lab Internet Informat Collaborat Shenzhen Grad Sch Shenzhen Peoples R China
Network embedding aims to learn low-dimensional representations for nodes in social networks, which can serve many applications, such as node classification, link prediction and visualization. Most of network embeddin... 详细信息
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Speaker Anonymization for Personal Information Protection Using Voice Conversion Techniques
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IEEE ACCESS 2020年 8卷 198637-198645页
作者: Yoo, In-Chul Lee, Keonnyeong Leem, Seonggyun Oh, Hyunwoo Ko, Bonggu Yook, Dongsuk Korea Univ Dept Comp Sci & Engn Artificial Intelligence Lab Seoul 02841 South Korea
As speech-based user interfaces integrated in the devices such as AI speakers become ubiquitous, a large amount of user voice data is being collected to enhance the accuracy of speech recognition systems. Since such v... 详细信息
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Recurrent neural variational model for follower-based influence maximization
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INFORMATION SCIENCES 2020年 528卷 280-293页
作者: Huang, Huimin Meng, Zaiqiao Liang, Shangsong Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou Peoples R China Univ Glasgow Glasgow Lanark Scotland
Influence Maximization, aiming at selecting a small set of seed users in a social network to maximize the spread of influence, has attracted considerable attention recently. Most of the existing influence maximization... 详细信息
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variational Deep Clustering of Wafer Map Patterns
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IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING 2020年 第3期33卷 466-475页
作者: Hwang, Jonghyun Kim, Heeyoung Korea Adv Inst Sci & Technol Dept Ind & Syst Engn Daejeon 34141 South Korea
In semiconductor manufacturing, several measurement data called wafer maps are obtained in the metrology steps, and the variations in the process are detected by analyzing the wafer map data. Hidden processes or equip... 详细信息
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