基于非线性变换的图表示优化

Adaptation for graphical representation based on nonlinear transformation

优化是模式识别系统中必不可少的组成部分,优化的效果在一定程度上决定最终的识别结果。本文针对图表示的模式识别系统,提出了基于非线性函数的优化方法,使图表示模式识别更符合可视化与交互式原则。

The adaptation is an essential issue in pattern recognition, the effect of adaptation influences the final recognition. In this paper, nonlinear transformation for adapting graphical representation is introduced to patten recognition system, which improves the performance ofvisulization and interaction for the system.