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    Block-sparse CNN: towards a fast and memory-efficient framework for convolutional neural networks

    In this paper, we propose a block-sparse convolutional neural network (BSCNN) architecture that converts a dense convolution kernel into a sparse one. Traditional convolutional neural networks (CNNs) face the ...

    Nu Wen, Renzhong Guo, Biao He, Yong Fan, Ding Ma in Applied Intelligence (2021)

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    Adaptive contourlet-wavelet iterative shrinkage/thresholding for remote sensing image restoration

    In this paper, we present an adaptive two-step contourlet-wavelet iterative shrinkage/thresholding (TcwIST) algorithm for remote sensing image restoration. This algorithm can be used to deal with various linea...

    Nu Wen, Shi-zhi Yang, Cheng-jie Zhu in Journal of Zhejiang University SCIENCE C (2014)

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    Robust Semi-supervised Kernel-FCM Algorithm Incorporating Local Spatial Information for Remote Sensing Image Classification

    Fuzzy c-means (FCM) algorithm is a popular method in image segmentation and image classification. However, the traditional FCM algorithm cannot achieve satisfactory classification results because remote sensin...

    Chengjie Zhu, Shizhi Yang, Qiang Zhao in Journal of the Indian Society of Remote Se… (2014)