Search - svd

Search - svd - List

【AI-NN-PR】 cplst DL : 0: 多标签分类算法，通过对标签降维（SVD），然后利用线性回归建立特征和低维标签之间的关系，求出特征的系数，然后反过来进行预测(Multi label classification algorithm, through the tag dimension reduction (SVD), and then use linear regression to establish the relationship between features and low dimensional tags, to find the coefficients of the feature, and then in turn to predict)
Update : 2024-05-20 Size : 850944 Publisher : 千年之后
【matlab】 CS DL : 0: 采用DCS-SOMP算法对宽频信号进行重构 L1-SVD算法对低信噪比下的信号进行重构(Compressed sensing DCS-SOMP algorithm is used to reconstruct wideband signals L1-SVD algorithm for low SNR signal reconstruction)
Update : 2024-05-20 Size : 6144 Publisher : ACTION2018
【Special Effects】 pcadenoise DL : 0: 矩阵 pca或者低秩方法去噪，利用svd分解，实现对图像矩阵的去噪，该方法支持对rgb图像的去噪。使用代码请文章中表明出处，感谢。感谢重庆市研究生科研创新项目支持，项目号CYS16183(image denoise by low-rand regularizer or pca method. the low rank is evaluted by svd, and this method is also support for rgb image.)
Update : 2024-05-20 Size : 302080 Publisher : cavin
【Other】 x_svdprony DL : 1: 利用prony算法提取信号的幅值、相位、频率和衰减因子，运用SVD确定阶数(Prony algorithm is used to extract the amplitude, phase, frequency and attenuation factor of the signal, and the order is determined by SVD)
Update : 2024-05-20 Size : 1024 Publisher : 白衣仓狗x
【DataMining】 ukawwo DL : 0: SVD算法：利用SVD分解的平移,旋转矩阵算法()
Update : 2024-05-20 Size : 2048 Publisher : Sslly
【Graph program】 arrxy__oorld__compiler DL : 0: SVD的有关资料,主要是入门的说明的,适合初学者,()
Update : 2024-05-20 Size : 449536 Publisher : YXBRgred%406218
【matlab】 lansvd DL : 0: Lazsvd矩阵的SVD分解，MATLAB程序。(SVD decomposition of Lazsvd matrix)
Update : 2024-05-20 Size : 3072 Publisher : liujiye13
【matlab】 eof,reof等 DL : 0: matlab 的EOF 和REOF、CCA、SVD方法(EOF and REOF CCA SVD matlab code)
Update : 2024-05-20 Size : 4096 Publisher : yidou
【matlab】 WPsvdquzao DL : 0: 主要用于对含有噪声的信号进行降噪处理，先小波包降噪再奇异值降噪(It is mainly used to denoise the signal containing noise. First, the wavelet packet de-noising and then the singular value denoising)
Update : 2024-05-20 Size : 1024 Publisher : 飘飘1613
【Audio program】 5067313 DL : 0: Audio Watermarking Scheme Based on Singular Spectrum Analysis
Update : 2024-05-20 Size : 1556480 Publisher : Rajan007
【Audio program】 T4 DL : 0: A Robust Blind Audio Watermarking Scheme Based on Singular Value Decomposition and Neural Networks
Update : 2024-05-20 Size : 238592 Publisher : Rajan007
【matlab】 SparseDOA DL : 1: 使用l1-svd的方法求解DOA估计问题(Using the l1-svd method to solve the DOA estimation problem)
Update : 2024-05-20 Size : 4096 Publisher : jiang123aa
【Special Effects】 S_R DL : 0: 稀疏字典,图像处理，k-svd, omp(Sparse representation)
Update : 2024-05-20 Size : 222208 Publisher : katkat
【matlab】 Question 5 DL : 0: Image Compression Algorithm in MATLAB using SVD
Update : 2024-05-20 Size : 219136 Publisher : uak
【Wavelet】 Color_DWT_SVD_watermarking DL : 0: dwt-svd watermarking
Update : 2024-05-20 Size : 313344 Publisher : Maxindia
【Algorithm】 lapack-3.8.0 DL : 0: 进行数值计算的著名软件，LAPACK包含了求解科学与工程计算中最常见的数值线性代数问题，如求解线性方程组、线性最小二乘问题、特征值问题和奇异值问题等。(LAPACK is written in Fortran 90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision.)
Update : 2024-05-20 Size : 31635456 Publisher : 老博
【Other】 mrsvd DL : 0: 实现多分辨率奇异值分解程序,可用于故障诊断、消除噪声等(multi resolvetion svd decompotion)
Update : 2024-05-20 Size : 825344 Publisher : hzgzh
【Special Effects】 PCA DL : 0: 1、读入图片，根据PGN格式的line 2 确定矩阵的大小为 28*28=784，根据line4 获取. 2、读入图片，根据PGN格式的line 2 确定矩阵的大小为 28*28=784，根据line4 获取。 3、计算平均矩阵。 4、对平均值矩阵进行SVD： 5、平均矩阵进行SVD后的前20个singular vector的输出结果。 6. 将训练集的每一张图片当成一行，形成一个矩阵，然后对矩阵进行PCA分解。 7. 这个矩阵对测试集的每张图片进行降维，得到的图像。(1, read the picture, according to the line 2 of PGN format, the size of the matrix is 28*28=784, obtained according to the line4. 2, read the picture, according to the line 2 of PGN format, the size of the matrix is 28*28=784, obtained according to the line4. 3. Calculate the average matrix. 4. The average value matrix is SVD: 5. The average matrix carries out the output of the first 20 singular vector after SVD. 6. take each picture of the training set as a line, form a matrix, and then decompose the matrix by PCA. 7. this matrix reduces the dimension of each picture of the test set and gets the image.)
Update : 2024-05-20 Size : 6418432 Publisher : 彦雁
【Other】 sarwar_SVD DL : 0: Incremental Singular Value Decomposition Algorithms for Highly Scalable Recommender Systems
Update : 2024-05-20 Size : 110592 Publisher : pingzh
【AI-NN-PR】 wooflix.tar DL : 0: https://gustavonarea.net/blog/posts/korens-svd-python-implementation/(Koren's SVD++ Python Implementation)
Update : 2024-05-20 Size : 216064 Publisher : BBX.

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