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Description: 求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method -- to return to the original equation is expressed by the coefficient matrix, a sign of the return value is not zero, then returned to normal.
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Size: 913 |
Author: 陈益林 |
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Description: 求解大型稀疏方程组的全选主元高斯-约当消去法--返回零表示原方程组的系数矩阵奇异，返回的标志值不为零，则表示正常返回。-solving large sparse linear system-wide elections PCA Gauss-Jordan elimination method-- to return to the original equation is expressed by the coefficient matrix, a sign of the return value is not zero, then returned to normal.
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Size: 1024 |
Author: 陈益林 |
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Description: 用全选主元高斯-约当消去发求解系数矩阵为稀疏矩阵的方程组-Select All PCA with Gaussian- about when fat elimination for solving sparse matrix for the coefficient matrix of equations
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Size: 32768 |
Author: z |
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Description: 用全选主元高斯—约当消去法求解系数矩阵为稀疏矩阵的大型方程组-Select All PCA with Gauss- Jordan elimination method to solve the coefficient matrix for a large sparse matrix equations
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Size: 1024 |
Author: 蓝星辰 |
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Description: 关于有直接稀疏PCA的方法，一种较新的PCA算法，供大家学习参考-Direct sparse PCA
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Size: 95232 |
Author: 小哈 |
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Description: 稀疏PCA的优化解算法，较新的pca算法，供大家学习交流！-Optimal Solutions for Sparse Principal Component Analysis
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Size: 510976 |
Author: 小哈 |
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Description: 稳健稀疏PCA算法，能够对噪音与异常点数据表现稳健-Robust Sparse PCA
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Size: 2048 |
Author: mengdeyu |
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Description: 利用稀疏主分量分析实现目标识别中的特征提取，包括论文和仿真代码。-Informative Feature Selection for Object Recognition via Sparse PCA
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Size: 1553408 |
Author: 吴均 |
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Description: 一个简单的图像稀疏分解的例子，用了PSO—PCA分解，得到了一个较好的重构图像-A simple example of image sparse decomposition, using PSO-PCA decomposition and get a better reconstruction images
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Size: 2048 |
Author: 合格后 |
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Description: 稀疏主成分分析用于脸部检测和识别的基础知识介绍。初学者很专业的入门材料。-Sparse principal component analysis for face detection and identification of the basics of introduction. Introductory material for beginners very professional.
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Size: 7607296 |
Author: hzx |
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Description: this code reduce the dimentional of feature space using combine sparse matrix+PCA for classification eeg signal. more detail exixst inside the code.
this code tested and work properly
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Size: 1024 |
Author: hamid |
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Description: 针对稀疏表示识别方法需要大量样本训练过完备字典且特征冗余度较高的问题，提出了结合过完备字典学习与PCA降维的小样本语音情感识别算法.该方法首先用PCA降维方法将特征降维，再将处理后的特征用于过完备字典训练与稀疏表示识别方法，从而给出了语音情感特征的稀疏表示方法，并确定了新算法的具体步骤.为验证其有效性，在同等特征维数下，将方法与BP, SVM进行比较，并对比、分析语音情感特征稀疏化前后对语音情感识别率、时间效率以及空间效率的影响.试验结果表明，所提出方法的识别率比SVM与BP高 与采用稀疏化前的特征相比，稀疏化后的特征向量更便于处理，平均识别率提高约15 ，时间效率提高近原来的1 /2，空间效率提升近原来的1 /3.
-Identification methods for sparse representation requires a lot of training samples and high over-complete dictionary feature redundancy problem, a combination of over-complete dictionary learning and PCA dimension small sample speech emotion recognition algorithms. Firstly, the PCA dimension reduction methods feature reduction, feature and then treatment for the over-complete dictionary training and recognition sparse representation, which gives a speech emotion feature sparse representation, and to determine the specific steps of the new algorithm. To verify its validity, in Under the same number of features, the method and BP, SVM compare and contrast, analyze the impact before and after the speech emotion feature sparse speech emotion recognition rate, time-efficient and space-efficient. experimental results show that the recognition rate of the proposed method than High SVM and BP compared to pre-thinning characteristics using eigenvectors easier after thinning processing, the av
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Size: 629760 |
Author: wangming |
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Description: 主要是用PCA主矢量分析的方法在稀疏优化的运用，代码简单易懂，适合初学者-The method is mainly used in the PCA main vector analysis to optimize the use of sparse code easy to understand for beginners
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Size: 5120 |
Author: 王航 |
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Description: 1家庭联合稀疏主成分分析算法的异常……Jiang_ku_0099M_12176_DATA_1-1A Family of Joint Sparse PCA Algorithms for Anomaly ... Jiang_ku_0099M_12176_DATA_1
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Size: 558080 |
Author: fangsm |
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Description: robust PCA的应用实例 很有代表性的方法-this paper proposed a approach of robust
face recognition by exploiting the sparse error component obtained by RPCA.
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Size: 9076736 |
Author: zbh_wj |
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Description: Calculates a sparse PCA model
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Size: 3072 |
Author: acityboy |
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Description: 鲁棒主成分分析 低秩与稀疏矩阵分解 增广拉格朗日 图像重建、去噪-robust pca low-rank and sparse matrix decomposition
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Size: 353280 |
Author: gbyzzj |
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Description: 用于分析Robust PCA对应的MATLAB程序，将一个矩阵分解为低秩和稀疏矩阵的形式(This paper analyzes the MATLAB program corresponding to Robust PCA, and decomposes a matrix into a form of low rank and sparse matrix.)
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Size: 4096 |
Author: 你懂得啊
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