Time Series Predictions Using Multi-scale Support Vector Regressions.
Danian ZhengJiaxin WangYannan ZhaoPublished in: TAMC (2006)
Keyphrases
- multiscale
- support vector
- non stationary
- feature selection
- kernel function
- edge detection
- natural images
- loss function
- dynamic time warping
- logistic regression
- training examples
- generalization ability
- cross validation
- support vector machine
- kernel methods
- coarse to fine
- maximum margin
- scale space
- classification accuracy
- learning machines
- binary classification
- optic flow
- radial basis function
- svm classifier
- image representation
- multivariate time series
- local binary pattern
- sequential data
- support vector regression
- image processing
- support vectors
- moving average
- subsequence matching
- autoregressive
- hyperplane
- linear discriminant analysis
- keypoints
- wavelet transform
- long term