色度水印 - 水印嵌入系统

Run Application =============== Windows: Doubleclick the BicAT_v2.2.jar file Linux: type ./run_linux to start the application. Solaris: type ./run_solaris to start the application. possible problems: ================== Make sure the environment variables are properly set! CLASSPATH (should be ok) LD_LIBRARY_PATH = ./lib/linux ./lib/solaris Sample Data Files ================= dataSample_1.txt - use offsets (1,1) (data are already logarithmized) dataSample_2.txt - use offsets (1,1) (Run Application =============== Windows: Doubleclick the BicAT_v2.2.jar file Linux: type ./run_linux to start the application. Solaris: type ./run_solaris to start the application. possible problems: ================== Make sure the environment variables are properly set! CLASSPATH (should be ok) LD_LIBRARY_PATH = ./lib/linux ./lib/solaris Sample Data Files ================= dataSample_1.txt- use offsets (1,1) (data are already logarithmized) dataSample_2.txt- use offsets (1,1) )

Haming Distance- This MATLAb Code is Use to get the Hamming Distance for images, it was downloaded for other site and submited here

包括抽样函数， 余弦函数， 升余弦函数， 滚降升余弦函数的频谱(Including the sampling function, cosine function or cosine function, roll-off spectrum raised cosine function)

IndependentComponentanalysis,用法详见文件夹中的content.m，关键能运行(IndependentComponentanalysis, usage see folder content.m, the key to run)

MATLAB LSB İ MPORTANT

PCA是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。本程序实现了基于PCA特征脸的人脸识别。(PCA is a major contradiction to grasp things, statistical analysis, it can parse out things from multiple main factors, revealing the essence of things, simplifying complex issues. This program implements the features of face recognition based on PCA.)

粒子群优化算法 （PSO） 是一种人工智能 （AI） 技术，可以用于查找极难或不可能的数字最大化和最小化问题的近似解。 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报

隐条件随机场模型(Hidden Conditional Random Field, HCRF),使用中间隐藏变量对输入域的潜在结构进行建模,解决了CRF的局限,同时又具有CFR模型表达长距离依赖性和交叠性特征的能力,克服了HMM事件检测模型的局部观察独立性假设,

veterbi code in matlab programme

余弦距离进行聚类分析，余弦距离kmeans进行聚类分析，(Cluster analysis cosine distance, cosine distance from the cluster analysis kmeans,)