Continuous fatigue level estimation for the classification of fatigued bills based on an acoustic signal feature by a supervised SOM.
Masaru TeranishiSigeru OmatuToshihisa KosakaPublished in: Artif. Life Robotics (2009)
Keyphrases
- feature vectors
- acoustic signal
- acoustic signals
- unsupervised learning
- supervised learning
- supervised classification
- feature set
- pattern recognition
- feature selection
- kohonen self organizing map
- self organizing maps
- feature extraction
- classification scheme
- image classification
- feature values
- pattern classification
- machine learning
- support vector machine
- learning algorithm
- feature analysis
- classification accuracy
- automatic classification
- input data
- decision trees
- redundant features
- preprocessing
- training set
- feature representation
- density estimation
- feature subset
- class labels
- machine learning algorithms
- semi supervised
- input space
- k means
- classification method
- classification algorithm
- discriminative features
- selection criterion
- irrelevant features
- image features
- neural network