A novel feature learning framework for high-dimensional data classification.
Yanxia LiYi ChaiHongpeng YinBo ChenPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- high dimensional data
- supervised learning
- high dimensionality
- dimensionality reduction
- nearest neighbor
- high dimensional
- data sets
- unsupervised learning
- low dimensional
- data points
- feature vectors
- pattern recognition
- dimension reduction
- support vector machine svm
- feature extraction
- learning algorithm
- manifold learning
- input space
- multi task
- machine learning
- text classification
- high dimensions
- support vector machine
- multiple features
- lower dimensional
- regression problems
- feature weights
- clustering high dimensional data
- database
- neural network
- image classification
- computer vision
- decision trees
- semi supervised
- image data
- active learning