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5 Result(s)

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    Chapter and Conference Paper

    A New Adaptive Ridgelet Neural Network

    In this paper, a new kind of neural network is proposed by combining ridgelet with feed-forward neural network (FNN). The network adopts ridgelet as the activation function in hidden layer of a three-layer FNN...

    Shuyuan Yang, Min Wang, Licheng Jiao in Advances in Neural Networks – ISNN 2005 (2005)

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    Chapter and Conference Paper

    Ultra-wideband Nearfield Adaptive Beamforming Based on a RBF Neural Network

    An adaptive beamforming method based on radial-basis function (RBF) neural network is examined for ultra-wideband (UWB) array illuminated by nearfield source in this paper. An analysis of the principle of spac...

    Min Wang, Shuyuan Yang, Shunjun Wu in Advances in Neural Networks – ISNN 2005 (2005)

  3. No Access

    Chapter and Conference Paper

    A Novel Ridgelet Kernel Regression Method

    In this paper, a ridgelet kernel regression model is proposed for approximation of multivariate functions, especially those with certain kinds of spatial inhomogeneities. It is based on ridgelet theory, kernel...

    Shuyuan Yang, Min Wang, Licheng Jiao, Qing Li in Advances in Neural Networks – ISNN 2005 (2005)

  4. No Access

    Chapter and Conference Paper

    Compression of Remote Sensing Images Based on Ridgelet and Neural Network

    To get a high-ratio compression of remote sensing images, we advanced a new compression method using neural network (NN) and a geometrical multiscale analysis (GMA) tool-ridgelet. Ridgelet is powerful in deali...

    Shuyuan Yang, Min Wang, Licheng Jiao in Advances in Neural Networks – ISNN 2005 (2005)

  5. No Access

    Chapter and Conference Paper

    Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound

    We present the first automatic solution for localizing fetal abdominal standard plane (FASP) in consecutive 2D ultrasound images. FASP is located in the presence of three key anatomies detected by learning bas...

    Dong Ni, Tianmei Li, **n Yang, **g Qin… in Abdominal Imaging. Computation and Clinica… (2013)