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检索条件"主题词=Variational autoencoder"
1534 条 记 录,以下是431-440 订阅
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One-Class Collaborative Filtering with the Queryable variational autoencoder  19
One-Class Collaborative Filtering with the Queryable Variati...
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42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
作者: Wu, Ga Bouadjenek, Mohamed Reda Sanner, Scott Univ Toronto Toronto ON Canada Vector Inst Artificial Intelligence Toronto ON Canada
variational autoencoder (VAE) based methods for Collaborative Filtering (CF) demonstrate remarkable performance for one-class (implicit negative) recommendation tasks by extending autoencoders with relaxed but tractab... 详细信息
来源: 评论
Evaluating variational autoencoder as a Private Data Release Mechanism for Tabular Data  24
Evaluating Variational Autoencoder as a Private Data Release...
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IEEE 24th Pacific Rim International Symposium on Dependable Computing (PRDC)
作者: Li, Szu-Chuang Tai, Bo-Chen Huang, Yennun Acad Sinica Res Ctr Informat Technol Innovat Taipei Taiwan
Multi-market businesses can collect data from different business entities and aggregate data from various sources to create value. However, due to the restriction of privacy regulation, it could be illegal to exchange... 详细信息
来源: 评论
A Transformer-Based variational autoencoder for Sentence Generation
A Transformer-Based Variational Autoencoder for Sentence Gen...
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International Joint Conference on Neural Networks (IJCNN)
作者: Liu, Danyang Liu, Gongshen Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Shanghai Peoples R China
The variational autoencoder(VAE) has been proved to be a most efficient generative model, but its applications in natural language tasks have not been fully developed. A novel variational autoencoder for natural texts... 详细信息
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Bike-Share Demand Prediction using Attention based Sequence to Sequence and Conditional variational autoencoder  3
Bike-Share Demand Prediction using Attention based Sequence ...
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3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility (PredictGIS)
作者: Mimura, Tomohiro Ishiguro, Shin Kawasaki, Satoshi Fukazawa, Yusuke NTT DOCOMO INC Tokyo Japan Univ Tokyo Tokyo Japan
In recent years, bicycle sharing services (bike-shares) have been established worldwide. One important aspect of bike-share management is to periodically rebalance the positions of the available bikes. Because the bik... 详细信息
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Learning an Optimisable Semantic Segmentation Map with Image Conditioned variational autoencoder  20th
Learning an Optimisable Semantic Segmentation Map with Image...
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20th International Conference on Image Analysis and Processing (ICIAP)
作者: Zhuang, Pengcheng Sekikawa, Yusuke Hara, Kosuke Saito, Hideo Keio Univ Grad Sch Sci & Technol Yokohama Kanagawa 2238522 Japan Denso IT Lab Tokyo 1500002 Japan
Recent semantic segmentation systems have achieved significant improvement by performing pixel-wise training with hierarchical features using deep convolutional neural network models. While the learning process usuall... 详细信息
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DATA AUGMENTATION FOR MONAURAL SINGING VOICE SEPARATION BASED ON variational autoencoder-GENERATIVE ADVERSARIAL NETWORK
DATA AUGMENTATION FOR MONAURAL SINGING VOICE SEPARATION BASE...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: He, Boxin Wang, Shengbei Yuan, Weitao Wang, Jianming Unoki, Masashi Tianjin Polytech Univ Sch Comp Sci & Technol Tianjin Key Lab Autonomous Intelligence Technol & Tianjin Peoples R China Japan Adv Inst Sci & Technol Sch Informat Sci Nomi Ishikawa Japan
Random mixing and circularly shifting for augmenting the training set are used to improve the separation effect of deep neural network (DNN)-based monaural singing voice separation (MSVS). However, these manual method... 详细信息
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Investigation of F0 conditioning and Fully Convolutional Networks in variational autoencoder based Voice Conversion  20
Investigation of F0 conditioning and Fully Convolutional Net...
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Interspeech Conference
作者: Huang, Wen-Chin Wu, Yi-Chiao Lo, Chen-Chou Tobing, Patrick Lumban Hayashi, Tomoki Kobayashi, Kazuhiro Toda, Tomoki Tsao, Yu Wang, Hsin-Min Acad Sinica Taipei Taiwan Nagoya Univ Nagoya Aichi Japan
In this work, we investigate the effectiveness of two techniques for improving variational autoencoder (VAE) based voice conversion (VC). First, we reconsider the relationship between vocoder features extracted using ... 详细信息
来源: 评论
Refined WaveNet Vocoder for variational autoencoder Based Voice Conversion  27
Refined WaveNet Vocoder for Variational Autoencoder Based Vo...
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27th European Signal Processing Conference (EUSIPCO)
作者: Huang, Wen-Chin Wu, Yi-Chiao Hwang, Hsin-Te Tobing, Patrick Lumban Hayashi, Tomoki Kobayashi, Kazuhiro Toda, Tomoki Tsao, Yu Wang, Hsin-Min Acad Sinica Taipei Taiwan Nagoya Univ Nagoya Aichi Japan
This paper presents a refinement framework of WaveNet vocoders for variational autoencoder (VAE) based voice conversion (VC), which reduces the quality distortion caused by the mismatch between the training data and t... 详细信息
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Unsupervised Anomaly detection of LM Guide Using variational autoencoder  11
Unsupervised Anomaly detection of LM Guide Using Variational...
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11th International Symposium on Advanced Topics in Electrical Engineering (ATEE)
作者: Kim, Min Su Yun, Jong Pil Lee, Suwoong Park, PooGyeon Pohang Univ Sci & Technol Pohang South Korea Korea Inst Ind Technol Cheonan Si South Korea
Linear Motion (LM) is a linear motion guide that helps directional moving of machine. It is important to judge the anomaly state of LM guides because LM guides are used in various industries to support various task in... 详细信息
来源: 评论
Unsupervised classification of high-dimension and low-sample data with variational autoencoder based dimensionality reduction  4
Unsupervised classification of high-dimension and low-sample...
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4th IEEE International Conference on Advanced Robotics and Mechatronics (ICARM)
作者: Mahmud, Mohammad Sultan Fu, Xianghua Shenzhen Univ Coll Comp & Software Engn Big Data Inst Shenzhen 518060 Peoples R China Shenzhen Technol Univ Fac Arts & Sci Shenzhen 518118 Peoples R China
In data mining research and development, one of the defining challenges is to perform classification or clustering tasks for relatively limited-samples with high-dimensions data, also known as high-dimensional limited... 详细信息
来源: 评论