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  1. No Access

    Chapter and Conference Paper

    Residual Inter-slice Feature Learning for 3D Organ Segmentation

    Although a large number of 2D convolutional neural networks have been reported and used for medical image segmentation, most of them still face the following two problems. First, these networks employ 2D convo...

    Junming Zhang, Jian Su, Tao Lei, **aogang Du, Yong Wan, Chenxia Li in Image and Graphics (2023)

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    Chapter and Conference Paper

    A Multi-modal System for Video Semantic Understanding

    This paper proposes a video semantic understanding system based on multi-modal data fusion. The system includes two sub-models, the video classification tag model (VCT) and the video semantic tag model (VST), ...

    Zhengwei Lv, Tao Lei, **ao Liang, Zhizhong Shi, Duoxing Liu in CCKS 2021 - Evaluation Track (2022)

  3. No Access

    Chapter and Conference Paper

    GPU-Accelerated Infrared Patch-Image Model for Small Target Detection

    Infrared small target detection plays a significant role in precision guidance and infrared warning systems. Although existing methods based on infrared patch-image (IPI) model have achieved good detection res...

    Xuying Hao, Yujia Liu, Fei Song, Tao Lei, Yi Cui in Pattern Recognition and Computer Vision (2022)

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    Chapter and Conference Paper

    Adaptive Registration for Multi-type Remote Sensing Images via Dynamic Feature Selection

    Remote sensing image registration (RSIR) has been performed in various RS applications for decades. However, how to adaptively register multi-type (multi-view, multi-temporal, and multi-sensor) RS images remai...

    Fei Song, Qiang Chen, Tao Lei, Zhenming Peng in Image and Graphics Technologies and Applic… (2022)

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    Chapter and Conference Paper

    High Reliability Design of Student Status Information Acquisition System in Ideological and Political Classroom Under Multi-target Tracking

    Aiming at the low reliability of the traditional ideological and political classroom student status information acquisition system, a high-reliability design of the ideological and political classroom student ...

    Gui-xiu **e, Tao Lei in IoT and Big Data Technologies for Health Care (2022)

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    Chapter and Conference Paper

    DLMP-Net: A Dynamic Yet Lightweight Multi-pyramid Network for Crowd Density Estimation

    The current deep neural networks used for crowd density estimation face two main problems. First, due to different surveillance distance from the camera, densely populated regions are characterized by dramatic...

    Qi Chen, Tao Lei, **nzhe Geng, Hulin Liu in Pattern Recognition and Computer Vision (2022)

  7. Chapter and Conference Paper

    Correction to: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery

    Due to a technical error, the original version of the book was published under the Advances in Intelligent Systems and Computing series. The book series has been changed from Advances in Intelligent Systems an...

    Hongying Meng, Tao Lei, Maozhen Li, Kenli Li in Advances in Natural Computation, Fuzzy Sys… (2021)

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    Chapter and Conference Paper

    Research on Adaptive Segmentation Algorithm of Image Weak Target Based on Pattern Recognition

    Based on the comprehensive research of image segmentation technology, an adaptive segmentation algorithm based on pattern recognition for image weak targets is proposed. By systematically designing the image s...

    Tao Lei, **ao-gang Zhu in Advanced Hybrid Information Processing (2021)

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    Chapter and Conference Paper

    Attention-Based DSM Fusion Network for Semantic Segmentation of High-Resolution Remote-Sensing Images

    For semantic segmentation of high-resolution remote-sensing images, digital surface models (DSMs) information is useful for improving the accuracy and robustness of the segmentation models. However, since the ...

    Minfei Lu, Yu**ao Zhang, **aogang Du in Advances in Natural Computation, Fuzzy Sys… (2021)

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    Chapter and Conference Paper

    Adaptive Edge Resource Allocation for Maximizing the Number of Tasks Completed on Time: A Deep Q-Learning Approach

    To relieve resource-limited mobile devices from computation-intensive tasks, reduce the transmission latency and mitigate the burden of the backhaul network for the centralized cloud-based network services, mo...

    Shanshan Wu, Qibo Sun, Ao Zhou, Shangguang Wang in Blockchain and Trustworthy Systems (2020)

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    Article

    An improvement to linear regression classification for face recognition

    Linear regression classification (LRC) has attracted a great amount of attention owning to its promising performance in face recognition. However, its performance will dramatically decline in the scenario of l...

    Yali Peng, **gcheng Ke, Shigang Liu, Jun Li in International Journal of Machine Learning … (2019)

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    Article

    Learning multi-temporal-scale deep information for action recognition

    Action recognition in video is widely applied in video indexing, intelligent surveillance, multimedia understanding, and other fields. A typical human action contains the spatiotemporal information from variou...

    Guangle Yao, Tao Lei, Jiandan Zhong, ** Jiang in Applied Intelligence (2019)

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    Article

    Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm

    Research has demonstrated a significant overlap between sleep issues and other medical conditions. In this paper, we consider mild difficulty in falling asleep (MDFA). Recognition of MDFA has the potential to ...

    Bing-Tao Zhang, **ao-Peng Wang, Yu Shen in International Journal of Automation and Co… (2019)

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    Chapter and Conference Paper

    Fast Anti-noise Compression Storage Algorithm for Big Data Video Images

    When calculating the traditional image compression storage algorithm, the key frames of the video image are mainly extracted by the video image feature. In the process of video image acquisition, the influence...

    Tao Lei in Advanced Hybrid Information Processing (2019)

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    Chapter and Conference Paper

    Research on Parallel Forecasting Model of Short-Term Power Load Big Data

    The parallel prediction model of big data with traditional power load has a low prediction accuracy in different working conditions, so the parallel prediction model of big data for short-term power load is de...

    **n-jia Li, Hong Sun, Cheng-liang Wang, Si-yu Tao in Advanced Hybrid Information Processing (2019)

  16. No Access

    Article

    A New Virtual Samples-Based CRC Method for Face Recognition

    The research of automatic face recognition has attracted much attention from many researchers because of human faces’ uniqueness and usability. However, in the real-world applications, the acquisition equipmen...

    Yali Peng, Lingjun Li, Shigang Liu, Tao Lei, Jie Wu in Neural Processing Letters (2018)

  17. No Access

    Chapter and Conference Paper

    Energy Efficient Channel Sharing and Power Optimization for Device-to-Device Networks

    In device-to-device (D2D) networks, the system performance can be significantly improved with a well resource allocation scheme. In this paper, the issue of channel sharing and power allocation for device-to-d...

    Zeguo **, **angming Wen, Zhaoming Lu, Yan Zeng, Zhiqun Hu in Game Theory for Networks (2017)

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    Chapter and Conference Paper

    A Cooperative Route Choice Approach via Virtual Vehicle in Internet of Vehicles

    Popular navigation services are used by drivers both to plan out routes and to optimally navigate real time road congestion in internet of vehicles (IoV). However, the navigation system (such as GPS navigation...

    Tao Lei, Shangguang Wang, **glin Li in Internet of Vehicles – Technologies and Se… (2016)

  19. No Access

    Chapter

    A Discussion on the Operational Mechanism of Private Equity in China

    This article analyses and makes a research on the financing, investment, management and exit mechanism in the operational process of private equity(PE). In the end, the author puts forward four suggestions inc...

    Guomin Wei, Tao Lei, Cheng Zeng, Bin Li in Affective Computing and Intelligent Interaction (2012)

  20. No Access

    Chapter

    A Lidar Receiver for Speed Measurement Based on Software Radio

    Against characteristics of large bandwidth and low SNR belong to the echo signal, and in the application of software radio idea, a wide-band receiver scheme for continuous-wave lidar by combining SW Dual Conve...

    Jiqiang Wang, Chang Wang, Tao Lei, Zhiqiang Song in Frontiers in Computer Education (2012)

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