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投稿时间：2010-07-12
投稿时间：2010-07-12
中文摘要: 从理论上探讨了共享隐结构模型的实质,并证明其与经典主分量分析的等价性.针对经典的共享隐结构算法需要使用确定性优化算法或者EM算法求解、且初值的设定以及优化速度精度很难控制这一特点,给出了共享隐变量模型的解析式,证明了高斯过程共享隐变量模型等价于经典PCA方法,即可以用PCA方法作为共享隐变量模型的解析式,并给出在人体运动分析中的实验结果.
Abstract:The characteristics of the Shared Latent Model are studied from theoretical perspective with focus on the lack of a closed-form solution for the shared latent model,and proof is given that the Principal Component Analysis is equivalent to the shared latent model.Furthermore,ridge regression is introduced to the framework of calculating shared latent model.Finally,the experimental results are presented to prove the efficiency of the algorithm.
文章编号：20100516 中图分类号： 文献标志码：
基金项目:上海电力学院实验教改项目(SYJG10-15)
引用文本：
仝明磊,边后琴.共享隐变量模型的解析算法及应用[J].上海电力大学学报,2010,26(5):478-480,497.
TONG Ming-lei,BIAN Hou-qin.Close Form Algorithm of Shared Latent Model and Its Application[J].Journal of Shanghai University of Electric Power,2010,26(5):478-480,497.
仝明磊,边后琴.共享隐变量模型的解析算法及应用[J].上海电力大学学报,2010,26(5):478-480,497.
TONG Ming-lei,BIAN Hou-qin.Close Form Algorithm of Shared Latent Model and Its Application[J].Journal of Shanghai University of Electric Power,2010,26(5):478-480,497.