Supervised Manifold-Preserving Graph Reduction for Noisy Data Classification.
Zhiqiang XuLi ZhangPublished in: KSEM (1) (2018)
Keyphrases
- noisy data
- high dimensional
- classification accuracy
- supervised learning
- supervised classification
- unsupervised learning
- high dimensionality
- semi supervised classification
- feature selection
- support vector machine
- feature space
- pattern recognition
- text classification
- machine learning
- training data
- noise free
- intrinsic dimensionality
- noise tolerant
- missing data
- learning from noisy data
- training set
- computer vision
- class labels
- random walk
- classification algorithm
- decision trees
- weighted graph
- shortest path
- image data
- color images
- support vector
- graph embedding
- unsupervised methods
- learning algorithm