Supervised Feature Selection Method for High-Dimensional Data Classification in Photo-Thermal Infrared Imaging with Limited Training Data.
Nian ZhangKeenan LeathamPublished in: CoDIT (2018)
Keyphrases
- classification accuracy
- high dimensional data
- dimension reduction
- training data
- support vector machine svm
- high dimensionality
- training samples
- support vector machine
- clustering method
- decision trees
- supervised learning
- pattern recognition
- training set
- data sets
- feature selection
- similarity measure
- supervised feature selection
- computer vision
- feature extraction
- semi supervised learning
- image classification
- dimensionality reduction
- probabilistic model
- input data
- unsupervised learning
- feature vectors
- data analysis
- pairwise
- high dimensional
- learning algorithm
- database
- subspace clustering
- feature weighting
- high dimensional spaces