咨询与建议

限定检索结果

文献类型

  • 904 篇 期刊文献
  • 618 篇 会议
  • 12 篇 学位论文

馆藏范围

  • 1,534 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,386 篇 工学
    • 946 篇 计算机科学与技术...
    • 488 篇 电气工程
    • 177 篇 信息与通信工程
    • 129 篇 控制科学与工程
    • 128 篇 软件工程
    • 75 篇 生物医学工程(可授...
    • 73 篇 仪器科学与技术
    • 59 篇 机械工程
    • 48 篇 材料科学与工程(可...
    • 36 篇 电子科学与技术(可...
    • 32 篇 石油与天然气工程
    • 25 篇 测绘科学与技术
    • 24 篇 化学工程与技术
    • 21 篇 土木工程
    • 21 篇 环境科学与工程(可...
    • 19 篇 动力工程及工程热...
    • 17 篇 力学(可授工学、理...
    • 16 篇 交通运输工程
    • 13 篇 生物工程
  • 327 篇 理学
    • 124 篇 物理学
    • 95 篇 生物学
    • 59 篇 化学
    • 54 篇 数学
    • 35 篇 地球物理学
    • 20 篇 统计学(可授理学、...
  • 243 篇 医学
    • 146 篇 临床医学
    • 61 篇 特种医学
    • 56 篇 基础医学(可授医学...
  • 109 篇 管理学
    • 88 篇 管理科学与工程(可...
    • 15 篇 图书情报与档案管...
  • 18 篇 农学
  • 12 篇 经济学
  • 10 篇 法学
  • 10 篇 教育学
  • 9 篇 文学
  • 3 篇 艺术学

主题

  • 1,534 篇 variational auto...
  • 260 篇 deep learning
  • 131 篇 anomaly detectio...
  • 93 篇 machine learning
  • 58 篇 generative adver...
  • 47 篇 generative model
  • 46 篇 training
  • 43 篇 feature extracti...
  • 42 篇 unsupervised lea...
  • 39 篇 neural networks
  • 37 篇 representation l...
  • 36 篇 generative adver...
  • 36 篇 data augmentatio...
  • 34 篇 convolutional ne...
  • 33 篇 data models
  • 27 篇 semi-supervised ...
  • 27 篇 artificial intel...
  • 26 篇 task analysis
  • 26 篇 deep generative ...
  • 25 篇 collaborative fi...

机构

  • 10 篇 natl chiao tung ...
  • 6 篇 ucl england
  • 6 篇 shenzhen univ co...
  • 6 篇 shanghai univ sc...
  • 5 篇 nanyang technol ...
  • 5 篇 zhejiang lab peo...
  • 5 篇 xiamen univ sch ...
  • 5 篇 chung yuan chris...
  • 4 篇 mit comp sci & a...
  • 4 篇 univ chinese aca...
  • 4 篇 beijing jiaotong...
  • 4 篇 acad sinica res ...
  • 4 篇 acad sinica taiw...
  • 4 篇 oak ridge natl l...
  • 4 篇 northwestern pol...
  • 4 篇 ecole technol su...
  • 4 篇 chongqing univ p...
  • 4 篇 tsinghua univ de...
  • 4 篇 univ elect sci &...
  • 4 篇 zhejiang univ st...

作者

  • 12 篇 chien jen-tzung
  • 8 篇 tahan antoine
  • 8 篇 chen junghui
  • 8 篇 zemouri ryad
  • 7 篇 yang fan
  • 7 篇 utschick wolfgan...
  • 7 篇 zhang hao
  • 6 篇 tsao yu
  • 6 篇 baur michael
  • 6 篇 slavic giulia
  • 6 篇 wang hsin-min
  • 6 篇 regazzoni carlo
  • 6 篇 marcenaro lucio
  • 5 篇 guo rui
  • 5 篇 li maokun
  • 5 篇 hsu wei-ning
  • 5 篇 glass james
  • 5 篇 liu xin
  • 5 篇 yoshii kazuyoshi
  • 5 篇 li yan

语言

  • 1,486 篇 英文
  • 38 篇 其他
  • 2 篇 中文
  • 1 篇 德文
  • 1 篇 法文
  • 1 篇 意大利文
  • 1 篇 朝鲜文
  • 1 篇 土耳其文
检索条件"主题词=Variational autoencoder"
1534 条 记 录,以下是441-450 订阅
排序:
Non-Parallel Voice Conversion with Cyclic variational autoencoder  20
Non-Parallel Voice Conversion with Cyclic Variational Autoen...
收藏 引用
Interspeech Conference
作者: Tobing, Patrick Lumban Wu, Yi-Chiao Hayashi, Tomoki Kobayashi, Kazuhiro Toda, Tomoki Nagoya Univ Grad Sch Informat Sci Nagoya Aichi Japan Nagoya Univ Informat Technol Ctr Nagoya Aichi Japan
In this paper, we present a novel technique for a non-parallel voice conversion (VC) with the use of cyclic variational autoencoder (CycleVAE)-based spectral modeling. In a variational autoencoder (VAE) framework, a l... 详细信息
来源: 评论
Group Latent Embedding for Vector Quantized variational autoencoder in Non-Parallel Voice Conversion  20
Group Latent Embedding for Vector Quantized Variational Auto...
收藏 引用
Interspeech Conference
作者: Ding, Shaojin Gutierrez-Osuna, Ricardo Texas A&M Univ Dept Comp Sci & Engn College Stn TX 77843 USA
This paper proposes a Group Latent Embedding for Vector Quantized variational autoencoders (VQ-VAE) used in non-parallel Voice Conversion (VC). Previous studies have shown that VQ-VAE can generate high-quality VC synt... 详细信息
来源: 评论
Jointly Trained variational autoencoder for Multi-Modal Sensor Fusion  22
Jointly Trained Variational Autoencoder for Multi-Modal Sens...
收藏 引用
22nd International Conference on Information Fusion (FUSION)
作者: Korthals, Timo Hesse, Marc Leitner, Juergen Melnik, Andrew Rueckert, Ulrich Bielefeld Univ Cognitron & Sensor Syst Bielefeld Germany Queensland Univ Technol Australian Ctr Robot Vis Brisbane Qld Australia Bielefeld Univ Neuroinformat Grp Bielefeld Germany
This work presents the novel multi-modal variational autoencoder approach M(2)VAE which is derived from the complete marginal joint log-likelihood. This allows the end-to-end training of Bayesian information fusion on... 详细信息
来源: 评论
CONTINUAL LEARNING FOR ANOMALY DETECTION WITH variational autoencoder  44
CONTINUAL LEARNING FOR ANOMALY DETECTION WITH VARIATIONAL AU...
收藏 引用
44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
作者: Wiewel, Felix Yang, Bin Univ Stuttgart Inst Signal Proc & Syst Theory Stuttgart Germany
Detecting anomalies using a variational autoencoder (VAE) suffers from catastrophic forgetting when trained on a continually growing set of normal data where only the most recently added data is available. Solving thi... 详细信息
来源: 评论
Improving Performance in Software Defect Prediction Using variational autoencoder  5
Improving Performance in Software Defect Prediction Using Va...
收藏 引用
IEEE 5th Conference on Knowledge Based Engineering and Innovation (KBEI)
作者: Eivazpour, Z. Keyvanpour, Mohammad Reza Alzahra Univ Dept Comp Engn Tehran Iran Alzahra Univ Data Min Lab Tehran Iran
Software defect prediction (SDP) is a beneficial task to save limited resources in the software testing stage for improving software quality. However, the imbalanced distribution in defect datasets could be a challeng... 详细信息
来源: 评论
Detecting Anomalies in Longitudinal Elevation of Track Geometry Using Train Dynamic Responses via a variational autoencoder
Detecting Anomalies in Longitudinal Elevation of Track Geome...
收藏 引用
Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems
作者: Liu, Jingxiao Wei, Yujie Berges, Mario Bielak, Jacobo Garrett, James H. Noh, Hae Young Carnegie Mellon Univ Dept Civil & Environm Engn 5000 Forbes Ave Pittsburgh PA 15213 USA
Track geometry is one of the most important health indices in the maintenance of rail tracks. Visual inspection and inspection using a track-geometry car are two common approaches to inspect track geometry. Presently,... 详细信息
来源: 评论
Joint Chord and Key Estimation Based on a Hierarchical variational autoencoder with Multi-task Learning
收藏 引用
APSIPA TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING 2022年 第1期11卷
作者: Wu, Yiming Yoshii, Kazuyoshi Kyoto Univ Grad Sch Informat Kyoto Japan Japan Sci & Technol Agcy PRESTO Tokyo Japan
This paper describes a deep generative approach to joint chord and key estimation for music signals. The limited amount of music signals with complete annotations has been the major bottleneck in supervised multi-task... 详细信息
来源: 评论
Designing Novel Functional Peptides by Manipulating a Temperature in the Softmax Function Coupled with variational autoencoder
Designing Novel Functional Peptides by Manipulating a Temper...
收藏 引用
IEEE International Conference on Big Data (Big Data)
作者: Chen, Shuan Kim, Hyun Uk Korea Adv Inst Sci & Technol KAIST Dept Chem & Biomol Engn Daejeon South Korea Korea Adv Inst Sci & Technol KAIST Dept Chem & Biomol Engn KAIST Inst Artificial Intelligence Daejeon South Korea
Development of an efficient peptide design method is crucial for tackling medical problems, such as designing antimicrobial peptides for combating drug resistant pathogens and anticancer peptides for various cancers. ... 详细信息
来源: 评论
Facial Image Inpainting with variational autoencoder
Facial Image Inpainting with Variational Autoencoder
收藏 引用
2nd International Conference of Intelligent Robotic and Control Engineering (IRCE)
作者: Tu, Ching-Ting Chen, Yi-Fu Natl Chung Hsing Univ Dept Appl Math Taichung 402 Taiwan Tamkang Univ Dept Comp Sci & Informat Engn New Taipei Taiwan
This paper proposed a learning-based approach to reveal diversity possible appearances under the missing area of an occluded unseen image. In general, there are a lot of possible facial appearances for the missing are... 详细信息
来源: 评论
ANOMALY DETECTION USING A variational autoencoder NEURAL NETWORK WITH A NOVEL OBJECTIVE FUNCTION AND GAUSSIAN MIXTURE MODEL SELECTION TECHNIQUE
ANOMALY DETECTION USING A VARIATIONAL AUTOENCODER NEURAL NET...
收藏 引用
作者: Bowman, Brandon Naval Postgraduate School
学位级别:硕士
Anomalies in data often convey critical information that can be leveraged in a variety of applications. For the military engaged in combat, this can amount to identifying threats early and preserving a lethal edge ove... 详细信息
来源: 评论