Table of Contents I. Introduction 2. Feature decomposition 3. Image compression based on SVD 4. Feature dimensionality reduction based on SVD 1. Foreword In fact, EVD (eigendecomposition) is a special case of SVD; inverse is a special case of pseudo-inverse, which has applications in least squares. There will be SVD decomposition in the “8-point method” […]
Tag: svd
Compress images using singular value decomposition (SVD) (python implementation)
Singular value decomposition principle of image compression Images are stored in the form of matrices in the computer, so digital images (pictures) can be analyzed and processed using matrix theory knowledge and algorithms. Brief description of the principle Color pictures have 3 layers, which display 3 channels (red, green, and blue) respectively. Color pictures require […]
Matlab simulation of data classification based on SVDD algorithm
Table of Contents 1. Principle of SVDD algorithm 2. Mathematical formula of SVDD algorithm 3. Implementation steps of SVDD algorithm 4. MATLAB core program 5. Matlab simulation results Support Vector Domain Description (SVDD) is a classification algorithm based on Support Vector Machine (SVM). Its main purpose is to find a smallest hypersphere to surround all […]
Application of SVD decomposition in water injection algorithm—P02114003 Song Yangguang, P02114008 Chen Kang, P02114010 He Shenwang, P02114011 Zhu Haitao, P02114019 Yang Qi
1. Introduction SVD decomposition has a wide range of applications in both mathematical and applied fields, the following are some of the main roles of SVD decomposition: 1. Data dimensionality reduction: SVD decomposition can reduce high-dimensional data to low-dimensional representation. By keeping only the most important singular values and corresponding singular vectors, the dimensionality of […]
Matlab simulation of face recognition based on SVD singular value decomposition algorithm
Directory 1. Overview of algorithm theory 2. Some core programs 3. Algorithm running software version 4. Algorithm operation rendering preview 5. Algorithm complete program engineering 1. Overview of algorithm theory Face recognition is an important research direction in the field of computer vision, which can identify and verify face images. Face recognition has a wide […]
[Matlab] SVD decomposition of digital images
SingUlar valUe decomposition (SVD, SingUlar ValUe Decomposition) is an important matrix transformation method in linear algebra. SVD decomposition of a matrix can simplify a complex matrix and extract important information. The SVD decomposition of digital images is a method and tool for digital image modeling, which can be applied to scenarios sUch as image compression […]
Image Digital Watermarking Algorithm Based on DWT-DCT-SVD
Tip: After the article is written, the table of contents can be automatically generated. How to generate it can refer to the help document on the right Directory foreword 1. Algorithm principle 2. Results Summarize Foreword Tip: Here you can add the general content to be recorded in this article: Digital watermarking technology, as an […]
DR of ML: Based on the Iris (Iris) data set, using multiple dimensionality reduction algorithms (PCA/TSVD/LDA/TSNE) to achieve data dimensionality reduction and 2D and 3D dynamic visualization application cases
DR of ML: Based on the Iris (Iris) data set, using multiple dimensionality reduction algorithms (PCA/TSVD/LDA/TSNE) to achieve data dimensionality reduction and 2D and 3D dynamic visualization application cases Directory Application cases of data dimensionality reduction and 2D and 3D dynamic visualization using multiple dimensionality reduction algorithms (PCA/TSVD/LDA/TSNE) based on the Iris data set # […]
C language implementation of SVD decomposition (singular value decomposition)
#include <stdio.h> #include <stdlib.h> #include <math.h> double determinant(double matrix[20][20], int order); double laplace_expansion(double matrix[20][20], int r, int c, int order); int max_row_order(int n, double A[n][n]) { double m = 0; int mro = 0; for (int i = 0; i < n; i ++ ) { for (int j = 0; j < n; j […]
[Solved] static assertion failed: Error: no SVD traits
Recently I am learning CGAL (Computational Geometry Algorithms Library) computational geometry algorithm library. When I practice normal_estimation.cpp, I get an error: static assertion failed: Error: no SVD traits , after tossing for a whole day, can’t find relevant information, and finally see the explanation on github: You are missing Eigen. It is done by the […]