Gaussian Three-Dimensional kernel SVM for Edge Detection Applications.
Safar Irandoust-PakchinAydin AyanzadehSiamak BeikzadehPublished in: CoRR (2017)
Keyphrases
- rbf kernel
- edge detection
- three dimensional
- gaussian kernel
- support vector
- kernel function
- radial basis function
- zero crossing
- polynomial kernels
- support vector machine
- support vector machine svm
- kernel methods
- multiscale
- scale space
- reproducing kernel hilbert space
- positive definite
- edge detector
- kernel space
- feature space
- image processing
- svm classifier
- gaussian kernels
- svm classification
- feature selection
- noisy images
- kernel parameters
- image enhancement
- ls svm
- gaussian filter
- d objects
- feature vectors
- optimal parameters
- standard svm
- multiple kernel learning
- least squares support vector machine
- classification and regression problems
- histogram intersection kernel
- kernel machines
- gaussian noise
- knn
- training set
- kernel matrix
- gaussian processes
- linear svm
- string kernels
- hyperplane
- input space
- maximum likelihood
- multi class
- image sequences
- image segmentation
- computer vision