Proposed framework for multi-level extreme machine learning for underwater thruster's fault classification using YIN fundamental frequency estimator and pitch sound.
Teck Kai ChanCheng Siong ChinPublished in: ICARM (2017)
Keyphrases
- machine learning
- fundamental frequency
- pattern recognition
- machine learning methods
- support vector machine
- decision trees
- machine learning algorithms
- support vector
- transductive inference
- text classification
- classification accuracy
- training set
- feature vectors
- supervised learning
- musical instrument
- feature extraction
- feature space
- feature selection
- data mining
- expert systems
- computer vision
- data preparation
- fault detection
- classification algorithm
- unsupervised learning
- multiscale
- image classification
- text mining
- reinforcement learning
- probabilistic model