Robust and Efficient Classification for Underground Metal Target Using Dimensionality Reduction and Machine Learning.
Yadong WanTong LiPeng WangShihong DuanChao ZhangNa LiPublished in: IEEE Access (2021)
Keyphrases
- machine learning
- dimensionality reduction
- pattern recognition
- feature extraction
- feature selection
- supervised machine learning
- high dimensionality
- machine learning methods
- machine learning algorithms
- text classification
- classification accuracy
- supervised classification
- supervised learning
- machine learning approaches
- feature space
- decision trees
- classification scheme
- principal component analysis
- pattern classification
- dimension reduction
- classification algorithm
- computationally efficient
- model selection
- pattern recognition and machine learning
- computer vision
- support vector
- support vector machine
- image classification
- learning algorithm
- information extraction
- natural language processing
- text mining
- classification method
- nearest neighbor
- learning tasks
- class labels
- high dimensional
- practical application
- highly efficient
- preprocessing
- support vector machine svm
- training samples
- dimensionality reduction methods
- low dimensional
- data mining