BeamElement11

一个完整Matlab程序，实现了粒子群算法与人工鱼群算法的比较，体现了两种算法各自的优缺点(A complete Matlab program to achieve a particle swarm optimization and artificial fish school algorithm, two algorithms reflects the advantages and disadvantages of each)

图像清晰化matlab代码!能让模糊图像变清晰。(a MATLAB code a image can be made to be clearly using this code)

包括：隐藏混沌序列即隐藏参数的生成；对图像进行隐藏；恢复出隐藏前置乱的目标图像；恢复出原目标图像；对隐藏目标置乱处理等(Include: hidden chaotic sequence that is hidden parameter generation images hidden the restoration of a hidden goal of arbitrary pre-image the restoration of the original target image to hide the goal of treatment, such as scrambling)

这部分是用MATLAB产生随机过程的一系列源代码.含产生高斯分布随机变量,多变量高斯过程样本的产生,高斯--马尔科夫过程的产生等等..分别运行了这些程序.希望对大家有用(This is partly a random process generated by MATLAB source code of the series. Containing random variables have a Gaussian distribution, multivariate Gaussian process for selecting the sample, Gaussian- Markov process and so on .. have to run the procedure separately . everyone would like to be useful)

该程序用matlab写成，已包含vof（根据Hirt的方法）内容，但该部分尚不成熟。对于不包含自由面的计算比较成功。(The program written with matlab, included vof (according to Hirt' s method) content, but that part is not yet mature. For the calculation of the free surface does not contain more successful.)

guys here RSA ,DIFFIE HELLMAN ANS HASH PADDING CODE SO DOWNLOAD AND TAKE FUN

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.

用粒子群求解最优化问题的一个粒子，并画出迭代次数与最优解的关系(For solving optimization problems with particle swarm particle, and draw a relationship between the number of iterations and the optimal solution)

matlab中常用代码集合，适合初学者学习参考。(matlab a collection of commonly used code, suitable for beginners to learn.)

说明：  matlab 与 vc 混合编程 自带的例程(matlab and vc )