Search Results - "Jianxiu Jin"

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  1. 1

    Wearable Emotion Recognition Using Heart Rate Data from a Smart Bracelet by Shu, Lin, Yu, Yang, Chen, Wenzhuo, Hua, Haoqiang, Li, Qin, Jin, Jianxiu, Xu, Xiangmin

    Published in Sensors (Basel, Switzerland) (28-01-2020)
    “…Emotion recognition and monitoring based on commonly used wearable devices can play an important role in psychological health monitoring and human-computer…”
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    Journal Article
  2. 2

    Multi-Level Context Pyramid Network for Visual Sentiment Analysis by Ou, Haochun, Qing, Chunmei, Xu, Xiangmin, Jin, Jianxiu

    Published in Sensors (Basel, Switzerland) (18-03-2021)
    “…Sharing our feelings through content with images and short videos is one main way of expression on social networks. Visual content can affect people's…”
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    Journal Article
  3. 3

    Attentive and context-aware deep network for saliency prediction on omni-directional images by Qing, Chunmei, Zhu, Huansheng, Xing, Xiaofen, Chen, Dongwen, Jin, Jianxiu

    Published in Digital signal processing (01-01-2022)
    “…Understanding visual attention of observers on omni-directional images gains interest along with the booming trend of virtual reality applications. In this…”
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    Journal Article
  4. 4

    Relaxation Degree Analysis Using Frontal Electroencephalogram Under Virtual Reality Relaxation Scenes by Zhang, Yue, Zhang, Lulu, Hua, Haoqiang, Jin, Jianxiu, Zhu, Lingqing, Shu, Lin, Xu, Xiangmin, Kuang, Feng, Liu, Yunhe

    Published in Frontiers in neuroscience (24-09-2021)
    “…Increasing social pressure enhances the psychological burden on individuals, and the severity of depression can no longer be ignored. The characteristics of…”
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    Journal Article
  5. 5

    LDA based compact and discriminative dictionary learning for sparse coding by Jiayong Chen, Xiangmin Xu, Chunmei Qing, Jianxiu Jin

    “…The dictionary response usually affects the recognition results directly as it represents the original data and usually serves as the input of the classifier…”
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    Conference Proceeding
  6. 6

    Structural tensor and frequency guided semi-supervised segmentation for medical images by Leng, Xuesong, Wang, Xiaxia, Yue, Wenbo, Jin, Jianxiu, Xu, Guoping

    Published in Medical physics (Lancaster) (16-09-2024)
    “…The method of semi-supervised semantic segmentation entails training with a limited number of labeled samples alongside many unlabeled samples, aiming to…”
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    Journal Article
  7. 7

    A novel image encryption scheme based on Hénon map and compound spatiotemporal chaos by Zheng, Yifeng, Jin, Jianxiu

    Published in Multimedia tools and applications (01-09-2015)
    “…In this paper, a novel image encryption algorithm based on Hénon map and compound spatiotemporal chaos is proposed. Pixel positions permutation and pixel…”
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    Journal Article
  8. 8

    CEEMDAN fuzzy entropy based fatigue driving detection using single-channel EEG by Liu, Yunhe, Xiang, Zirui, Yan, Zhixin, Jin, Jianxiu, Shu, Lin, Zhang, Lulu, Xu, Xiangmin

    Published in Biomedical signal processing and control (01-09-2024)
    “…[Display omitted] •Establishing a Single-Channel EEG Dataset for Driving Fatigue: The research involves collecting single-channel EEG data related to driving…”
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    Journal Article
  9. 9

    Multi-target tracking method with flexibility of illumination change by Yinrong Wu, Jianxiu Jin, Xiaofen Xing

    “…Moving multi-targets tracking under variant illumination in a large range is still not highly robust, especially in changeable scenes of video sequence. In…”
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    Conference Proceeding
  10. 10

    Dehazing with improved heterogeneous atmosphere light estimation and a nonlinear color attenuation prior model by Sheng Zhang, Chunmei Qing, Xiangmin Xu, Jianxiu Jin, Huiping Qin

    “…In this paper, we propose an improved heterogeneous atmosphere light estimation method and a novel depth estimation algorithm with Color Attenuation Prior…”
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    Conference Proceeding
  11. 11

    A novel image scrambling degree blind evaluation scheme based on Bhattacharyya coefficient by Yifeng Zheng, Jianxiu Jin

    “…Image scrambling degree evaluation is important in assessing the security of image scrambling schemes. In this paper, a novel image scrambling degree (ISD)…”
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    Conference Proceeding
  12. 12

    Underwater video dehazing based on spatial–temporal information fusion by Qing, Chunmei, Yu, Feng, Xu, Xiangmin, Huang, Wenyou, Jin, Jianxiu

    “…In this paper, a novel multidimensional underwater video dehazing method is presented to restore and enhance the underwater degraded videos. Videos in the…”
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    Journal Article
  13. 13

    Analysis on Random-like Property of Chaotic Motions With Exhaustive Entropy by Feng Mingku, Qiu Shuisheng, Jin Jianxiu, Liu Xiongying

    “…This paper proposes an algorithm for identification of the strength of random-like property of chaotic motions. With regard to certain chaotic motion, the…”
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    Conference Proceeding
  14. 14

    A Method on Detecting Unpredictability of Chaotic Signal by Jianxiu Jin, Shuisheng Qiu, Liying Xie, Mingku Feng

    “…A method on detecting unpredictability of chaotic signal is put forward, which is based on periodic orbit statistics. Chaotic time sequences come from analog…”
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    Conference Proceeding
  15. 15

    A Dataset for Falling Risk Assessment of the Elderly using Wearable Plantar Pressure by Hu, Guohua, Jin, Jianxiu, Song, Zhen, Wu, Shibin, Shu, Lin, Xie, Junan, Ou, Jianlin, Chen, Zhuoming, Xu, Xiangmin

    “…Falling is characterized by high incidence and great harm among the elderly. Timely assessing falling risk in daily life is helpful for reducing the occurrence…”
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    Conference Proceeding
  16. 16

    Essence Knowledge Distillation for Speech Recognition by Yang, Zhenchuan, Zhang, Chun, Zhang, Weibin, Jin, Jianxiu, Chen, Dongpeng

    Published 25-06-2019
    “…It is well known that a speech recognition system that combines multiple acoustic models trained on the same data significantly outperforms a single-model…”
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    Journal Article
  17. 17

    A Binary I-Ching Divination Evolutionary Algorithm for Feature Selection by Chen, Bianna, Zhang, Tong, Jia, Xue, Jin, Jianxiu, Philip Chen, C. L., Xu, Xiangmin

    “…Feature selection is used to extract the most essential features from the data without degrading the performance of an algorithm, especially a classification…”
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    Conference Proceeding