SVM Regression and Its Application to Image Compression.
Runhai JiaoYuancheng LiQingyuan WangBo LiPublished in: ICIC (1) (2005)
Keyphrases
- image compression
- support vector
- support vector machine svm
- support vector machine
- classification and regression problems
- support vector machines for classification
- regression model
- vector quantization
- wavelet transform
- support vector regression
- svm classifier
- compression scheme
- knn
- regression method
- regression problems
- standard svm
- structural risk minimization
- compression algorithm
- subband
- relevance vector machine
- kernel ridge regression
- kernel methods
- hyperplane
- generalization ability
- compression ratio
- svm classification
- kernel function
- multi class
- logistic regression
- feature selection
- discrete cosine transform
- classification algorithm
- ridge regression
- low bit rate
- model selection
- learning machines
- linear regression
- feature space
- training data
- image processing
- multi class classification
- loss function
- neural network
- training set
- cross validation
- compressed images
- binary classification
- regression analysis
- gaussian processes
- k nearest neighbor
- multiresolution
- regression methods
- regression algorithm
- support vectors
- nonlinear regression
- machine learning