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kde.tar
- kde全称是kernel density estimation.基于核函数的概率密度估计方法。是模式识别中常用的算法之一-KDE which is kernel density estimation is used to estimate probabilty function. It is mostly used in pattern recogntion
EM
- 基于非参数核密度估计的EM算法，对行人图像进行检测。内附红外行人图像。-EM based on non-parametric kernel estimation. Pedestrian detection. With images inside.
yrfdtvzk
- ICA（主分量分析）算法和程序，在matlab R2009b调试通过，自己编的5种调制信号，是本科毕设的题目，最小均方误差（MMSE）的算法，采用热核构造权重，已调制信号计算其普相关密度，利用贝叶斯原理估计混合logit模型的参数。- ICA (Principal Component Analysis) algorithm and procedures, In matlab R2009b debugging through, Own five modulation signal, The tit
matlab-kde2d
- matlab下的二维核密度估计算法， 自动计算窗宽，测试过好用-Matlab under the two-dimensional nuclear density estimation algorithm, automatic calculation of window width, tested too easy to use
@kde
- 计算核密度估计算法实现，可延伸扩展加入自己的想法，便于编程和调用。(you can use it to calculate kernel density estimate and compute about problem.)