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检索条件"主题词=Variational autoencoder"
1537 条 记 录,以下是411-420 订阅
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variational autoencoder Inspired by Brain's Convergence-Divergence Zones for Autonomous Driving Application  20th
Variational Autoencoder Inspired by Brain's Convergence-Dive...
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20th International Conference on Image Analysis and Processing (ICIAP)
作者: Plebe, Alice Da Lio, Mauro Univ Trento Dept Informat Engn & Comp Sci Trento Italy Univ Trento Dept Ind Engn Trento Italy
In the last decades, the research in autonomous vehicles has greatly improved thanks to the success of artificial neural models. Yet, self-driving cars are far from reaching human performances. It is our opinion that ... 详细信息
来源: 评论
Website Recommendation with Side Information Aided variational autoencoder  39
Website Recommendation with Side Information Aided Variation...
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39th IEEE International Performance Computing and Communications Conference (IPCCC)
作者: Wang, Pinhao Li, Wenzhong Yu, Zepeng Lu, Baoguo Lu, Sanglu Nanjing Univ State Key Lab Novel Software Technol Nanjing Peoples R China Nanjing Univ Sino German Inst Social Comp Nanjing Peoples R China Nanjing Res Inst Elect & Engn Nanjing Peoples R China
Recommender systems had been proposed to help people to find the interested items, such as recommending products to a buyer;identifying movies or music that a user will find interest, etc. However, the existing recomm... 详细信息
来源: 评论
Representation learning of resting state fMRI with variational autoencoder
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NEUROIMAGE 2021年 241卷 118423-118423页
作者: Kim, Jung-Hoon Zhang, Yizhen Han, Kuan Wen, Zheyu Choi, Minkyu Liu, Zhongming Univ Michigan Dept Biomed Engn Ann Arbor MI 48109 USA Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA Purdue Univ Weldon Sch Biomed Engn W Lafayette IN 47907 USA
Resting state functional magnetic resonance imaging (rsfMRI) data exhibits complex but structured patterns. However, the underlying origins are unclear and entangled in rsfMRI data. Here we establish a variational aut... 详细信息
来源: 评论
variational autoencoder for Non-Negative Matrix Factorization with Exogenous Inputs Applied to Financial Data Modelling  11
Variational Autoencoder for Non-Negative Matrix Factorizatio...
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11th International Symposium on Image and Signal Processing and Analysis (ISPA)
作者: Montesdeoca, Luis Squires, Steven Niranjan, Mahesan Univ Southampton Elect & Comp Sci Southampton England
Multi-variate time series that arise in financial data, for example, are likely to be driven by underlying lower dimensional latent variables. Extracting such latent spaces can be useful in representing the data effic... 详细信息
来源: 评论
Addressing data imbalance problems in ligand-binding site prediction using a variational autoencoder and a convolutional neural network
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BRIEFINGS IN BIOINFORMATICS 2021年 第6期22卷 bbab277-bbab277页
作者: Trinh-Trung-Duong Nguyen Duc-Khanh Nguyen Ou, Yu-Yen Yuan Ze Univ Comp Sci Dept Chungli Taiwan Yuan Ze Univ Dept Informat Management Chungli Taiwan Yuan Ze Univ Dept Comp Sci & Engn Grad Program Biomed Informat Chungli Taiwan
Since 2015, a fast growing number of deep learning-based methods have been proposed for protein-ligand binding site prediction and many have achieved promising performance. These methods, however, neglect the imbalanc... 详细信息
来源: 评论
Efficient few-shot medical image segmentation via self-supervised variational autoencoder
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Medical Image Analysis 2025年 104卷 103637页
作者: Yanjie Zhou Feng Zhou Fengjun Xi Yong Liu Yun Peng David E. Carlson Liyun Tu School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing 100876 China Department of Radiology Beijing Tiantan Hospital Capital Medical University Beijing 100070 China Department of Radiology MOE Key Laboratory of Major Diseases in Children Beijing Children’s Hospital Capital Medical University National Center for Children’s Health Beijing 100045 China Department of Civil and Environmental Engineering and the Department of Electrical and Computer Engineering Duke University Durham NC 27708 USA
Few-shot medical image segmentation typically uses a joint model for registration and segmentation. The registration model aligns a labeled atlas with unlabeled images to form initial masks, which are then refined by ... 详细信息
来源: 评论
Network Embedding via Community Based variational autoencoder
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IEEE ACCESS 2019年 7卷 25323-25333页
作者: Shi, Wei Huang, Ling Wang, Chang-Dong Li, Juan-Hui Tang, Yong Fu, Chengzhou Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou 510006 Guangdong Peoples R China Guangdong Prov Key Lab Computat Sci Guangzhou 510275 Guangdong Peoples R China South China Normal Univ Sch Comp Sci Guangzhou 510631 Guangdong Peoples R China
In recent years, network embedding has attracted more and more attention due to its effectiveness and convenience to compress the network structured data. In this paper, we propose a community-based variational autoen... 详细信息
来源: 评论
Gaussian feature learning based on variational autoencoder for improving nonlinear process monitoring
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JOURNAL OF PROCESS CONTROL 2019年 75卷 136-155页
作者: Zhang, Zehan Jiang, Teng Zhan, Chengjun Yang, Yupu Shanghai Jiao Tong Univ Dept Automat Minist Educ Syst Control & Informat Proc Key Lab Shanghai 200240 Peoples R China
Deep learning algorithms, especially the autoencoders, have been applied in nonlinear process monitoring recently. However, the features extracted by the autoencoders can hardly follow the Gaussian distribution, conse... 详细信息
来源: 评论
Multi-Task with variational autoencoder for Lung Cancer Prognosis on Clinical Data  2020
Multi-Task with Variational Autoencoder for Lung Cancer Prog...
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The 9th International Conference on Smart Media and Applications
作者: Thanh-Hung Vo Guee-Samg Lee Hyung-Jeong Yang Sae-Ryung Kang In-Jae Oh Soo-Hyung Kim Chonnam National University S. Korea Chonnam National University Medical School S. Korea
Due to the increase of lung cancer in Korea, survival analysis for this kind of cancer gets emerging in recent years. Statistical and traditional machine learning methods usually used by medical doctors for this task.... 详细信息
来源: 评论
Semi-supervised dimensional sentiment analysis with variational autoencoder
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KNOWLEDGE-BASED SYSTEMS 2019年 165卷 30-39页
作者: Wu, Chuhan Wu, Fangzhao Wu, Sixing Yuan, Zhigang Liu, Junxin Huang, Yongfeng Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Microsoft Res Asia Beijing 100084 Peoples R China
Dimensional sentiment analysis (DSA) aims to compute real-valued sentiment scores of texts in multiple dimensions such as valence and arousal. Existing methods for DSA are usually based on supervised learning. However... 详细信息
来源: 评论