Convolution smoothing and non-convex regularization for support vector machine in high dimensions.
Kangning WangJunning YangKemal PolatAdi AlhudhaifXiaofei SunPublished in: Appl. Soft Comput. (2024)
Keyphrases
- high dimensions
- support vector machine
- beltrami flow
- smoothing parameter
- risk minimization
- high dimensional
- high dimensional data
- diffusion equation
- gaussian kernel
- total variation regularization
- high dimensional spaces
- convex optimization
- feature vectors
- support vector
- image processing
- training set
- training data
- feature selection
- regularization parameter
- poor quality
- machine learning
- kernel methods
- database
- kernel function
- feature space
- total variation
- partial differential equations
- image denoising
- similarity search
- image restoration
- knn
- mumford shah
- pattern recognition