机译:使用非参数高斯潜在特征模型进行多分量信号分析的分量隔离
Department of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China,Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK;
Department of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;
Department of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;
Department of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China;
Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK;
Time-frequency analysis; Non-parametric latent feature model; Time series; Continuous phase modulation; Component extraction;
机译:工业机械设备多分量非平稳信号的核潜特征自适应提取与选择方法
机译:高斯过程潜变量模型的概率非线性主成分分析
机译:新的多分量图像缩小/分割方案的隐变量模型混合的马尔可夫正则化-Springer
机译:支持自适应厄米-高斯展开以分析多分量信号
机译:用于多组件传感器阵列的光信号传输策略。
机译:用于纵向数据的可解释性非参数分析的加性高斯过程回归模型
机译:初始化Em算法的单变量高斯,多分量, 动态规划分区的异方差混合模型
机译:多组分合金中颗粒溶解的数学模型。建模,分析和模拟。