Search Results - "Stacked contractive autoencoder"

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  1. 1

    Deep Learning and Superpixel Feature Extraction Based on Contractive Autoencoder for Change Detection in SAR Images by Lv, Ning, Chen, Chen, Qiu, Tie, Sangaiah, Arun Kumar

    ISSN: 1551-3203, 1941-0050
    Published: Piscataway IEEE 01.12.2018
    “…Image segmentation based on superpixel is used in urban and land cover change detection for fast locating region of interest. However, the segmentation…”
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    Journal Article
  2. 2

    Multimodal video classification with stacked contractive autoencoders by Liu, Yanan, Feng, Xiaoqing, Zhou, Zhiguang

    ISSN: 0165-1684, 1872-7557
    Published: Elsevier B.V 01.03.2016
    Published in Signal processing (01.03.2016)
    “…In this paper we propose a multimodal feature learning mechanism based on deep networks (i.e., stacked contractive autoencoders) for video classification…”
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    Journal Article
  3. 3

    Learning 3D faces from 2D images via Stacked Contractive Autoencoder by Zhang, Jian, Li, Ke, Liang, Yun, Li, Na

    ISSN: 0925-2312, 1872-8286
    Published: Elsevier B.V 27.09.2017
    Published in Neurocomputing (Amsterdam) (27.09.2017)
    “…3D face reconstruction from a 2D face image has been found important to various applications such as face detection and recognition because a 3D face provides…”
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    Journal Article
  4. 4

    Software Defect Prediction Based on Stacked Contractive Autoencoder and Multi-objective Optimization by Zhang, Nana, Zhu, Kun, Ying, Shi, Wang, Xu

    ISSN: 1546-2226, 1546-2218, 1546-2226
    Published: Henderson Tech Science Press 01.01.2020
    Published in Computers, materials & continua (01.01.2020)
    “…Software defect prediction plays an important role in software quality assurance. However, the performance of the prediction model is susceptible to the…”
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    Journal Article
  5. 5

    Helicopter Planetary Gear Crack Fault Identification Utilizing Multidomain Stacked Contractive Autoencoders Based Deep Learning Framework by Sun, Canfei, Liu, Yuefeng, Huang, Linran

    Published: IEEE 15.10.2021
    “…The normal operation of planetary gear train is very important for the safety of helicopter flight. Complex vibration signals and sever working conditions…”
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    Conference Proceeding