Search Results - "vector-quantized variational autoencoder"

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  1. 1

    A multi-step approach for tongue image classification in patients with diabetes by Li, Jun, Huang, Jingbin, Jiang, Tao, Tu, Liping, Cui, Longtao, Cui, Ji, Ma, Xuxiang, Yao, Xinghua, Shi, Yulin, Wang, Sihan, Wang, Yu, Liu, Jiayi, Li, Yongzhi, Zhou, Changle, Hu, Xiaojuan, Xu, Jiatuo

    ISSN: 0010-4825, 1879-0534, 1879-0534
    Published: Oxford Elsevier Ltd 01.10.2022
    Published in Computers in biology and medicine (01.10.2022)
    “…In China, diabetes is a common, high-incidence chronic disease. Diabetes has become a severe public health problem. However, the current diagnosis and…”
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    Journal Article
  2. 2

    The Advance of Generative Model and Variational Autoencoder by Ren, Zhenhua

    Published: IEEE 11.12.2022
    “…Machine learning is a complicated course that contains many subjects which is known as Probability and Mathematical Statistic, approximation theory, convex analysis and the complexity of the algorithm…”
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    Conference Proceeding
  3. 3

    Affective Neural Responses Sonified through Labeled Correlation Alignment by Álvarez-Meza, Andrés Marino, Torres-Cardona, Héctor Fabio, Orozco-Alzate, Mauricio, Pérez-Nastar, Hernán Darío, Castellanos-Dominguez, German

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 14.06.2023
    Published in Sensors (Basel, Switzerland) (14.06.2023)
    “… For dealing with inter/intra-subject variability, a combination of Phase Locking Value and Gaussian Functional Connectivity is employed…”
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    Journal Article
  4. 4

    Gaze-Guided 3D Hand Motion Prediction for Detecting Intent in Egocentric Grasping Tasks by He, Yufei, Zhang, Xucong, Stienen, Arno H. A.

    ISSN: 2153-0866
    Published: IEEE 19.10.2025
    “… of the intended object for grasping. Specifically, we use a vector-quantized variational autoencoder for robust hand pose encoding with an autoregressive generative transformer for effective hand motion sequence prediction…”
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    Conference Proceeding
  5. 5

    An Improved Multimodal Cirrhosis Prediction Method Through Microbiota Based on VQVAE by Su, Jiewei, Jin, Yuncheng, Xia, Qi, Shi, Xiaodong, Sun, Bin, Jin, Xinyu

    Published: IEEE 31.05.2024
    “… Traditional diagnostic approaches, which rely heavily on invasive liver biopsies and are subject to interpretive variability, present significant limitations…”
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    Conference Proceeding