Intrinsic dimension estimation via nearest constrained subspace classifier.
Liang LiaoYanning ZhangStephen John MaybankZhoufeng LiuPublished in: Pattern Recognit. (2014)
Keyphrases
- intrinsic dimension
- intrinsic dimensionality
- high dimensional data
- feature space
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- high dimensions
- data points
- training data
- training set
- feature set
- support vector machine
- learning algorithm
- decision trees
- input data
- vector space
- feature selection
- diffusion maps
- noisy data
- dimension reduction
- neural network
- principal component analysis
- model selection
- manifold learning
- geometric structure
- probability density
- subspace learning
- singular values
- knn
- machine learning