A high-dimensional classification approach based on class-dependent feature subspace.
Fuzan ChenHarris WuRunliang DouMinqiang LiPublished in: Ind. Manag. Data Syst. (2017)
Keyphrases
- class dependent
- feature subspace
- high dimensional
- feature space
- feature selection
- high dimensional feature space
- dimension reduction
- high dimensionality
- pattern recognition
- cost sensitive
- dimensionality reduction
- support vector machine
- svm classifier
- image classification
- feature vectors
- feature extraction
- support vector
- decision trees
- classification accuracy
- lower dimensional
- machine learning methods
- classification algorithm
- machine learning
- support vector machine svm
- training samples
- low dimensional
- nearest neighbor
- training set
- cross validation
- class labels
- model selection
- pattern classification
- input space
- classification models
- image space
- feature set
- data points