Gauss-and-Lagrange

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

这是做SRP项目的一个蚁群算法的源代码的M文件，给大家看看，作为一个参考吧。(This is to do an ant colony algorithm SRP project source code for everyone to see it as a reference.)

此代码说明马赛克产生的基本方法 很不错，值得看看(This code shows the basic method of generating mosaic is very good, worth a look)

运用matlab进行ls与dft对比，从而得到二者不同(Ls using matlab for comparison with dft, resulting in two different)

image inpainting (CS7495 Final Project Sooraj Bhat Object Removal by Exemplar-based Inpainting USING THE CODE Everything was done in Matlab and MEX (i.e. a C function callable from Matlab). First, the C code needs to be compiled. At the Matlab prompt, type: mex bestexemplarhelper.c You should then be able to run the following (which takes ~2mins on my 2GHz Pentium 4 laptop with 256MB of RAM): [i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0]) A smaller run (~25 seconds) would be: [i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0]) To visualize: plotall close movie(mov) SAMPLE IMAGES & RESULTS *0.png The original images ( bw and bungee ) *{1,2}.png The different fill region masks. *P2.png Plots of confidence and data terms. *P5.png Plots of original, fill region, inpainted images and confidence and data terms. Other images in the dir contain redundant information. I di)

此源码是我更改过的基于VFW(Video for Windows)的源码，使用了定时器能实时的显示图像，从网上可搜到原版源码，但是原版的功能是保存为一个文件，且不能实时显示，此版本虽然能显示，但感觉反应速度不是很快，没有基于DirectShow的程序更新速度快，不过在WM_PAINT消息处理里加while(1){capGrabFrame(ghWndCap) }刷新速度就快很多了，但是这样程序就进入死循环不能再处理其他消息，至于怎样改进，就靠读者你了。(This source is changed based on VFW (Video for Windows) source, using a timer to display real-time images from the Internet can be found to the original source, but original function is saved as a file, and can not be real-time display, Although this version can display, but feel the reaction rate is not fast, not based on DirectShow update speed, but in WM_PAINT message processing Riga while (1) {capGrabFrame (ghWndCap) } faster refresh rate on a lot, but this procedure to enter an infinite loop can not deal with other information, as to how to improve the reader to rely on you.)

定义法求杜芬方程的分岔图，定义法求杜芬方程的分岔图(Bifurcation diagram is defined by the Method of Duffing equation)

this book introduces some basic theories about radar and uses matlab simulating some of them.

基于morphing论文利用matlab工具编写的一个简单的morphing技术实现的代码，可以下载看一下！(Paper-based morphing tool using matlab prepared a simple morphing technology to achieve the code, you can download a look!)

实现popupwindow弹出框的展示，设置弹出的位置以及样式(Achieve popupwindow display pop-up box, set the pop-up location and style)