simple-demo-ofmatlab

Algorith PCA in Matlab. The example is basic, with random data

说明：  卡尔曼滤波程序，基于卡尔曼的目标跟踪演示程序(kf filter)

本程序为一模糊 控制的simulink控制模型，设计好条件可以仿真出。(This program is a fuzzy control simulink control model can simulate the design is good condition.)

lanczos滤波程序,可按不同的频率对特定序列滤波(lanczos filtering process, according to a different frequency filtering for specific sequences)

说明：  是matlab语言，对阶跃折射率分布均匀光纤（圆柱型光纤）模型中的光场分布进行了模拟。(Is the matlab language, a step refractive index distribution of the fiber (cylinder-type fiber) model of optical field distribution are simulated.)

说明：  使用matlab进行小波分析，MATLAB6.5辅助小波分析与应用.pdf(Wavelet analysis using matlab)

说明：  这是用matlab编写的对图像边缘模糊化处理，已编译通过。(This is a matlab source code about photo processing Fuzzy edge。)

本程序可以实现图象的多尺度小波变换.本程序是基于matlab的．简单易用(This procedure can be achieved images of multi-scale wavelet transform. This procedure is based on the matlab. Easy-to-use)

LabVIEW调用MATLAB语言开发的算法的一些论文参考资料(LabVIEW calls the algorithm developed MATLAB language reference number of papers)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.