Intrinsic Dimension Estimation via Nearest Constrained Subspace Classifier.
Liang LiaoStephen John MaybankPublished in: CoRR (2020)
Keyphrases
- intrinsic dimension
- intrinsic dimensionality
- high dimensional data
- low dimensional
- feature space
- dimensionality reduction
- nearest neighbor
- high dimensions
- decision trees
- training set
- data points
- vector space
- high dimensional
- support vector
- training data
- feature selection
- input data
- euclidean distance
- subspace learning
- computer vision
- machine learning
- principal component analysis
- lower dimensional
- diffusion maps
- learning algorithm
- high dimensionality
- manifold learning
- maximum likelihood estimation
- probability density
- support vector machine