Channel and feature selection for a surface electromyographic pattern recognition task.
Iker MesaAngel RubioImanol TubiaJoaquín de NoJavier DíazPublished in: Expert Syst. Appl. (2014)
Keyphrases
- pattern recognition
- feature selection
- machine learning
- feature extraction
- emg signals
- neural network
- image analysis
- dimensionality reduction
- multi channel
- d objects
- feature space
- text categorization
- range data
- feature set
- three dimensional
- image processing
- computer vision
- mutual information
- surface reconstruction
- feature selection algorithms
- selected features
- signal processing
- text classification
- rough sets
- classification accuracy
- high dimensionality
- pattern classification
- pattern recognition problems
- data mining
- microarray data
- fuzzy sets
- classification models
- information gain
- knn
- smooth surfaces
- unsupervised feature selection
- surface fitting
- multiple access