Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning.
Xiaoyu ZhuHefeng DongPierluigi Salvo RossiMartin LandrøPublished in: Remote. Sens. (2021)
Keyphrases
- deep learning
- source localization
- feature selection
- principal component regression
- unsupervised learning
- machine learning
- partial least squares
- principal components
- wireless sensor networks
- dimension reduction
- feature set
- feature space
- classification accuracy
- kernel space
- feature extraction
- weakly supervised
- mental models
- feature subset
- high dimensionality
- text classification
- dimensionality reduction
- support vector
- selected features
- sound source
- face recognition
- multiscale
- data sets
- discriminant analysis
- similarity measure
- semi supervised
- support vector machine
- data analysis
- reinforcement learning