This thesis introduces a non parametric procedure for the analysis of multimodal data based on mean shift property, and demonstrates its superior performance in various applications.
本文介绍了一种用于分析具有多峰分布特征的非参数方法-均值平移，并且展示了它在不同应用中的优良的性能。
It is one of the most important contents for the quantum optics and nonlinear optics to study on the quantum properties and physical applications of the parametric image amplifier.
研究光学参量图像放大系统的量子特性和物理应用是非线性光学和量子光学的重要内容。
As its applications, the continuity of solution mappings for a class of parametric vector optimization problem and parametric vector variational inequality is obtained.
作为应用，得到一类参数向量优化问题和参数向量变分不等式的解的连续性。
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