A novel supervised correlation analysis based on partial differential equations for multi-feature extraction and fusion.
Jing YangLiya FanQuansen SunPublished in: Multim. Tools Appl. (2022)
Keyphrases
- correlation analysis
- partial differential equations
- feature extraction
- image processing
- numerical solution
- anisotropic diffusion
- image denoising
- level set
- cluster analysis
- feature selection
- image enhancement
- fourth order
- regression analysis
- multiscale
- factor analysis
- numerical algorithms
- numerical methods
- feature vectors
- learning algorithm
- differential equations
- wavelet transform
- correlation coefficient
- supervised learning
- energy functional
- semi supervised
- unsupervised learning
- machine learning
- discriminant analysis
- natural images
- dimensionality reduction
- numerical scheme
- conservation laws
- nonlinear partial differential equations
- expectation maximization
- signal processing
- principal component analysis
- denoising
- image analysis
- finite difference
- pattern recognition
- face recognition