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检索条件"主题词=Variational autoencoder"
1537 条 记 录,以下是221-230 订阅
排序:
TTS-by-TTS 2: Data-Selective Augmentation for Neural Speech Synthesis Using Ranking Support Vector Machine with variational autoencoder  23
TTS-by-TTS 2: Data-Selective Augmentation for Neural Speech ...
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Interspeech Conference
作者: Song, Eunwoo Yamamoto, Ryuichi Kwon, Ohsung Song, Chan-Ho Hwang, Min-Jae Oh, Suhyeon Yoon, Hyun-Wook Kim, Jin-Seob Kim, Jae-Min NAVER Corp Seongnam South Korea LINE Corp Tokyo Japan
Recent advances in synthetic speech quality have enabled us to train text-to-speech (TTS) systems by using synthetic corpora. However, merely increasing the amount of synthetic data is not always advantageous for impr... 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
来源: 评论
DISENTANGLED SPEECH REPRESENTATION LEARNING BASED ON FACTORIZED HIERARCHICAL variational autoencoder WITH SELF-SUPERVISED OBJECTIVE  31
DISENTANGLED SPEECH REPRESENTATION LEARNING BASED ON FACTORI...
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IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)
作者: Xie, Yuying Arildsen, Thomas Tan, Zheng-Hua Aalborg Univ Dept Elect Syst Aalborg Denmark
Disentangled representation learning aims to extract explanatory features or factors and retain salient information. Factorized hierarchical variational autoencoder (FHVAE) presents a way to disentangle a speech signa... 详细信息
来源: 评论
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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VAEMax: Open-Set Intrusion Detection based on OpenMax and variational autoencoder  5
VAEMax: Open-Set Intrusion Detection based on OpenMax and Va...
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5th Information Communication Technologies Conference (ICTC)
作者: Qiu, Zhiyin Zhou, Ding Zhai, Yahui Liu, Bo He, Lei Cao, Jiuxin Purple Mt Labs Nanjing Peoples R China Southeast Univ Sch Cyber Sci & Engn Nanjing Peoples R China TravelSky Technol Ltd Beijing Peoples R China
Promptly discovering unknown network attacks is critical for reducing the risk of major loss imposed on system or equipment. This paper aims to develop an open-set intrusion detection model to classify known attacks a... 详细信息
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Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a variational autoencoder  21
Generating and Blending Game Levels via Quality-Diversity in...
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16th International Conference on the Foundations of Digital Games (FDG)
作者: Sarkar, Anurag Cooper, Seth Northeastern Univ Boston MA 02115 USA
Several works have demonstrated the use of variational autoencoders (VAEs) for generating levels in the style of existing games and blending levels across different games. Further, quality-diversity (QD) algorithms ha... 详细信息
来源: 评论
HiCoVA: Hierarchical Conditional variational autoencoder for Keyphrase Generation  21
HiCoVA: Hierarchical Conditional Variational Autoencoder for...
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30th ACM International Conference on Information and Knowledge Management (CIKM)
作者: Santosh, T. Y. S. S. Reddy, Nikhil, V Anoop, V Sanyal, Debarshi Kumar Das, Partha Pratim Microsoft Hyderabad India IIT Kharagpur Kharagpur India Indian Assoc Cultivat Sci Kolkata India
The task of keyphrase generation, unlike extraction, aims to generate the phrases which succinctly capture the key information of the source text, that are even absent in the document (i.e., do not match any contiguou... 详细信息
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Fast variational autoencoder with Inverted Multi-Index for Collaborative Filtering  22
Fast Variational AutoEncoder with Inverted Multi-Index for C...
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31st ACM Web Conference (WWW)
作者: Chen, Jin Lian, Defu Jin, Binbin Huang, Xu Zheng, Kai Chen, Enhong Univ Elect Sci & Technol China Chengdu Peoples R China Uni Sci & Technol China Hefei Anhui Peoples R China Huawei Cloud Comp Technol Co Ltd Dongguan Peoples R China
variational autoencoder (VAE) has been extended as a representative nonlinear method for collaborative filtering. However, the bottleneck of VAE lies in the softmax computation over all items, such that it takes linea... 详细信息
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A NOVEL variational autoencoder BASED RADAR SIGNAL RECONSTRUCTION ALGORITHM USING POLLUTED DATA
A NOVEL VARIATIONAL AUTOENCODER BASED RADAR SIGNAL RECONSTRU...
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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
作者: Jing, Zehuan Wu, Bin Li, Peng Yang, Rui Li, Jingyi Wang, Zhao Xidian Univ Sch Elect Engn Minist Educ Key Lab Elect Informat Countermeasure & Simulat T Xian Shaanxi Peoples R China
In the transmission process, radar signal could be polluted easily, and the radar individual recognition process will be undermined by the polluted data. Some existing algorithms so far use the image denoising method ... 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
来源: 评论