Kernel Local Fisher Discriminant Analysis for Supervised Dimensionality Reduction

使用科大讯飞的语音识别和语音合成引擎作为基础，开发的适合SP的一套语音识别应用程序，可通过简单配置应用于现有的IVR业务中。主要文件简单说明：asr.c 系统初始化，入口点asrch.c 系统核心处理单元DynGra.c 动态语法生成tts.c 语音合成eventq.c 事件队列asrtimer.c 计时器iblock.c 内存管理.-The use of Science and Technology Institute of China inquiry flying speech recogn

this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) t