Regression from patch-kernel.
Shuicheng YanXi ZhouMing LiuMark Hasegawa-JohnsonThomas S. HuangPublished in: CVPR (2008)
Keyphrases
- kernel ridge regression
- reproducing kernel hilbert space
- sparse kernel
- support vector
- gaussian processes
- kernel regression
- regression model
- classification and regression problems
- kernel function
- kernel methods
- regression method
- image patches
- linear regression
- gaussian process regression
- loss function
- relevance vector machine
- mercer kernels
- principal component regression
- gradient boosting
- kernel partial least squares
- simple linear
- model selection
- feature space
- kernel matrix
- regression analysis
- support vector regression
- regression algorithm
- gaussian kernels
- covariance function
- neural network
- polynomial kernels
- input space
- regression function
- ridge regression
- regression methods
- linear combination
- kernel machines
- least squares
- sparse regression
- partial least squares
- multiscale
- learning algorithm
- conditional density estimation
- kernel learning