搜索资源列表
ICA_demo_fMRI
- ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI
TrackEye_src.zip
- 一个由zafersavas于2008年完成的完全基于VC++6实现的人脸检测和人眼跟踪程序,通过设置相应的参数实现不同的功能。人脸跟踪中使用了camshift算法和Haar算法,眼睛检测中使用了自适应PCA算法和模板匹配算法,还支持文件和网络摄像头两种输入方式,经过试验,检测速度比较快和准确度也比较高。附带demo程序。 使用步骤: 菜单TrackEye Menu --> Tracker Settings 输入源Input Source: video 选择文件输入指定为: ..\Avis\
PCA
- 一个关于主成分分析的matlab演示,十分有用-A principal component analysis on matlab demo, very useful
FastICA_25
- this a algorithm Fast PCA, it is very suitable for beginer who want to understand PCA, it is demo step by step-this is a algorithm Fast PCA, it is very suitable for beginer who want to understand PCA, it is demo step by step
image-Reconstruction
- Wavelet based Image Reconstruction Gradient Data Fast morphological reconstruction of large logical masks. Kernel PCA and Pre-Image Reconstruction Reconstruction of image projections by Algebraic Reconstruction Technique Image Reconstruction
PCANet_demo
- pcanet 多层的pca 组成的网络,包含demo-pcanet 多层的pca 组成的网络
Change-Detection-Code
- 遥感影像变化检测经典算法(IR-MAD、MAD、CVA、PCA),另外进行了算法的Demo和精度等计算评价(OA、Kappa、AUC、ROC)-Remote sensing image change detection classical algorithm (IR-MAD, MAD, CVA, PCA), were additionally algorithms and calculation accuracy Demo Assessment (OA, Kappa, AUC, ROC)