Classification of Sparse and Irregularly Sampled Time Series with Mixtures of Expected Gaussian Kernels and Random Features.
Steven Cheng-Xian LiBenjamin M. MarlinPublished in: UAI (2015)
Keyphrases
- classification accuracy
- feature vectors
- feature set
- gaussian kernels
- feature extraction
- feature space
- classification models
- extracted features
- svm classifier
- classification method
- kernel principal component analysis
- support vector machine
- class labels
- feature selection
- high dimensional feature space
- supervised learning
- support vector
- text classification
- image classification
- high dimensional
- training set
- machine learning
- general loss functions
- support vector machine svm
- image features
- cost sensitive
- multiscale