Fatigue Level Estimation of Bill by Using Supervised SOM Based on Feature-Selected Acoustic Energy Pattern.
Masaru TeranishiSigeru OmatuToshihisa KosakaPublished in: HIS (2008)
Keyphrases
- feature vectors
- unsupervised learning
- self organizing maps
- feature level
- neural network
- pattern matching
- higher level
- pattern discovery
- kohonen self organizing map
- image features
- semi supervised
- supervised learning
- learning algorithm
- energy minimization
- input patterns
- underwater acoustic
- source localization
- kohonen self organizing maps
- binary patterns
- estimation algorithm
- high dimensional
- machine learning