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斯坦福大学Andrew Ng讲授的机器学习课程的全程讲义及录音对应的文字资料,对许多常用机器学习算法有着深入系统的讲解。(The notes of Machine learning courses in Stanford University。)

code to count mean value

Matlab alaw mukaw ouptu

局部二值模型用于描述图像的局部纹理信息，对光照等具有鲁棒性(Local binary model used to describe the image of the local texture information, such as robust to illumination)

wav格式的音频中实现水印的嵌入与提取 由现成的软件超级MP3转换大师V1.20把mp3->wav 然后再由MATLAB做wav水印嵌入 (wav audio format to achieve watermark embedding and extraction of off-the-shelf software from Super Master V1.20 to MP3 conversion mp3-> wav then wav watermark embedding MATLAB to do)

说明：  design active queue management for router

这里和大家分享的几种基础的分类方法，其中包括判别聚类分析、人工神经网络、主成分分析等(Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis)

GABOR 滤波器的实现方法的MATLAB源程序实现。实现方法比较简单，适合初学者学习。(Implementation of GABOR filter MATLAB source implementation. Implementation is relatively simple, suitable for beginners to learn.)

parsing header values into elements.

matlab实现VOC数据集的物体扣取。(Matlab VOC cutting data set object)