Výsledky vyhľadávania - "Multi-Modal Variational Autoencoder"

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  1. 1

    Anytime 3D Object Reconstruction Using Multi-Modal Variational Autoencoder Autor Yu, Hyeonwoo, Oh, Jean

    ISSN: 2377-3766, 2377-3766
    Vydavateľské údaje: Piscataway IEEE 01.04.2022
    Vydané v IEEE robotics and automation letters (01.04.2022)
    “…For effective human-robot teaming, it is important for the robots to be able to share their visual perception with the human operators. In a harsh remote…”
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  2. 2

    Bayesian structural model updating with multimodal variational autoencoder Autor Itoi, Tatsuya, Amishiki, Kazuho, Lee, Sangwon, Yaoyama, Taro

    ISSN: 0045-7825, 1879-2138
    Vydavateľské údaje: Elsevier B.V 01.09.2024
    “…A novel framework for Bayesian structural model updating is presented in this study. The proposed method utilizes the surrogate unimodal encoders of a…”
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  3. 3

    Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data Autor Zuo, Chunman, Chen, Luonan

    ISSN: 1467-5463, 1477-4054, 1477-4054
    Vydavateľské údaje: Oxford Oxford University Press 01.07.2021
    Vydané v Briefings in bioinformatics (01.07.2021)
    “…Abstract Simultaneous profiling transcriptomic and chromatin accessibility information in the same individual cells offers an unprecedented resolution to…”
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  4. 4

    Multimodal nonparametric clustering via Monte Carlo method and fusion embedding generated by variational autoencoder Autor Ma, Yuanchi, He, Hui, Zhang, Gang, Niu, Zhendong

    ISSN: 1566-2535
    Vydavateľské údaje: Elsevier B.V 01.02.2026
    Vydané v Information fusion (01.02.2026)
    “…Multimodal Cluster analysis is a fundamental task in Generative AI (GenAI). However, its application in practical domains, such as multimodal perception for…”
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  5. 5

    One-class learning for fake news detection through multimodal variational autoencoders Autor Gôlo, Marcos Paulo Silva, de Souza, Mariana Caravanti, Rossi, Rafael Geraldeli, Rezende, Solange Oliveira, Nogueira, Bruno Magalhães, Marcacini, Ricardo Marcondes

    ISSN: 0952-1976, 1873-6769
    Vydavateľské údaje: Elsevier Ltd 01.06.2023
    “…Machine learning methods to detect fake news typically use textual features and Binary or Multi-class classification. However, accurately labeling a large news…”
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  6. 6

    Explainable Dynamic Multimodal Variational Autoencoder for the Prediction of Patients With Suspected Central Precocious Puberty Autor Xu, Yiming, Liu, Xiaohong, Pan, Liyan, Mao, Xiaojian, Liang, Huiying, Wang, Guangyu, Chen, Ting

    ISSN: 2168-2194, 2168-2208, 2168-2208
    Vydavateľské údaje: United States IEEE 01.03.2022
    “…Central precocious puberty (CPP) is the most common type of precocious puberty and has a significant effect on children. A gonadotropin-releasing hormone…”
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  7. 7

    Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder Autor Hirasawa, Kaito, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki

    ISSN: 1424-8220, 1424-8220
    Vydavateľské údaje: Switzerland MDPI AG 14.03.2021
    Vydané v Sensors (Basel, Switzerland) (14.03.2021)
    “…A new method for the detection of important scenes in baseball videos via a time-lag-aware multimodal variational autoencoder (Tl-MVAE) is presented in this…”
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  8. 8

    MVAESynth: a unified framework for multimodal data generation, modality restoration, and controlled generation Autor Lysenko, Anton, Deeva, Irina, Shikov, Egor

    ISSN: 1877-0509, 1877-0509
    Vydavateľské údaje: Elsevier B.V 2021
    Vydané v Procedia computer science (2021)
    “…Synthetic data generation is used nowadays in a number of applications with privacy issues, such as training and testing of systems for analyzing the behavior…”
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  9. 9

    Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes Autor Hirasawa, Kaito, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki

    ISSN: 2381-8549
    Vydavateľské údaje: IEEE 01.01.2021
    “…A novel method based on time-lag aware multi-modal variational autoencoder for prediction of important scenes (TI-MVAE-PIS) using baseball videos and tweets…”
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  10. 10

    Learning to reach to own body from spontaneous self-touch using a generative model Autor Marcel, Valentin, O'Regan, J. Kevin, Hoffmann, Matej

    Vydavateľské údaje: IEEE 12.09.2022
    “…When leaving the aquatic constrained environment of the womb, newborns are thrown into the world with essentially new laws and regularities that govern their…”
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  11. 11

    Normative Modeling using Multimodal Variational Autoencoders to Identify Abnormal Brain Volume Deviations in Alzheimer's Disease Autor Kumar, Sayantan, Payne, Philip R O, Sotiras, Aristeidis

    ISSN: 0277-786X
    Vydavateľské údaje: United States 01.02.2023
    “…Normative modelling is a method for understanding the underlying heterogeneity within brain disorders like Alzheimer Disease (AD), by quantifying how each…”
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  12. 12

    Modality Weighting in Multimodal Variational Autoencoders Autor Yegin, Melike Nur, Amasyali, Mehmet Fatih

    ISSN: 2770-7946
    Vydavateľské údaje: IEEE 07.09.2022
    “…Learning the same subject from different sources is known as multimodal learning in the machine learning literature. In this approach some of the modalities…”
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