Classification of knee-joint vibroarthrographic signals using time-domain and time-frequency domain features and least-squares support vector machine.
Yunfeng WuSridhar KrishnanPublished in: DPS (2009)
Keyphrases
- least squares support vector machine
- classification accuracy
- feature vectors
- ls svm
- feature space
- feature set
- feature extraction
- eeg signals
- benchmark datasets
- svm classifier
- frequency domain
- class labels
- support vector
- high dimensionality
- image features
- high dimensional data
- image classification
- feature selection
- machine learning
- least squares
- cross validation
- training set
- dimension reduction
- roc curve
- feature selection algorithms
- decision trees
- small sample
- learning algorithm