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KPCA.rar
- 快速的人脸特征提取算法KPCA，比普通的pca特征提取算法在效率上好了不少,Fast facial feature extraction algorithm KPCA, than ordinary PCA feature extraction algorithm in the efficiency of a good many
simpos
- 51下的超轻量多任务操作系统,具有任务切换开销极小(指令周期数<10/任务),任务切换速度极快(<100us/任务,STC 1T单片机上可达到20us/任务).注意,最好在拥有256字节的52上使用.使用前请认真看说明和注释,并完全了解该系统的工作机制.-this is a hyper tiny OS for MCS 51 MCU. the task switching is very fast(<10 cycles/task and <100us/switching).
PCA
- 主成分分析，可以用来做人脸识别的程序，方便，快捷-Principal component analysis, face recognition can be used to do the procedure, convenient and fast
PCA
- Adaboost实现人脸检测，这个很好用，速度快，准确-Adaboost face detection to achieve this good use, fast, accurate
MoAT7.1
- This paper identifies a novel feature space to address the problem of human face recognition from still images. This based on the PCA space of the features extracted by a new multiresolution analysis tool called Fast Discrete Curvelet Transfo
eigenvalue_computation.tar
- 快速PCA计算方法，有效实现降维等操作，和特征选择-Fast PCA method of calculation of effective dimension reduction and other operations, and feature selection
PCA
- 提出一种基于主分量分析和相融性度量的快速聚类方法。通过构造主分量空间将高维数据投影到两个主成分上 进行特征提取，每一个主分量都是原始变量的线性组合-Is proposed based on Principal Component Analysis and Measure of blending fast clustering method. Principal component space by constructing a high-dimensional data onto two p
pcaexpressprot
- We propose an algorithm for facial expression recognition which can classify the given image into one of the seven basic facial expression categories (happiness, sadness, fear, surprise, anger, disgust and neutral). PCA is used for dimensionality red
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
PCA
- 快速PCA,对样本矩阵进行快速主成分分析，和降维，输出特征向量矩阵。-Rapid PCA, the sample matrix of fast principal component analysis , dimensional reduction
Fast-ICA
- 独立成分分析中，将各个音频混合之后再将每个成分分离出来，并与PCA的结果做比较。-complete ICA，and compare with PCA。
ORLPPCAPSVM
- 一个完整的人脸识别算法实验，快速pca+svm算法，里面还带有orl人脸数据库，并且代码还有相应注释，大小有几十m，是一个很好的人脸实验-A complete face recognition algorithm experiments, fast pca+svm algorithm, which also comes with orl face database, and the code as well as the corresponding notes, there are dozens
1
- 快速主成分分析方法，既可以大大降维，又能提高速度，很棒的-fast PCA method
faster_pca
- 采用java实现的基于weka的快速pca源码。包括中心化、归一化、主程序和测试类-Java implementation of the Weka based fast PCA source code. Including center, normalization, main program and test class
fastPCA
- 快速PCA变换。对样本矩阵进行快速主成分分析降维，输出降维后的K维样本特征向量组成的矩阵。-fast pca coad。
PCA
- the edges and the other curved shapes in the images to be fused. The overall execution time of the fusion process is very low compared with the other fast algorithms such as Discrete Wavelet Transform (DWT) fusion algorithm.
pca-gozd
- 基于matlab的pca人脸识别,非常精确,快下哦,不错的 很好-The pca face recognition based on matlab, very precise, fast oh, under the good is very good
fastPCA
- 采用了一种较为快速地方法对矩阵PCA降维,.......(a fast version PCA for matrix)
MATLAB程序
- 快速PCA算法，用于快速提取出矩阵的主成分，主成分数量可定。(The fast PCA algorithm is used to extract the principal component of the matrix quickly, and the principal fraction can be determined.)
PCA
- 使用matlab自带的函数princomp()计算主成分，当维数很高时通常会出现内存耗尽的错误，即使内存足够也非常耗时。快速pca能加快计算进程且减小内存占用，更容易计算较大尺寸的图像主成分。(Use MATLAB's own function princomp () to calculate the principal component. When the dimension is very high, the memory exhaustion error usually occurs,