Multiscale Wavelets on Trees, Graphs and High Dimensional Data: Theory and Applications to Semi Supervised Learning.
Matan GavishBoaz NadlerRonald R. CoifmanPublished in: ICML (2010)
Keyphrases
- semi supervised learning
- high dimensional data
- multiscale
- graph construction
- semi supervised
- dimensionality reduction
- unlabeled data
- labeled data
- high dimensional
- data points
- low dimensional
- nearest neighbor
- subspace clustering
- supervised learning
- high dimensionality
- unsupervised learning
- data sets
- dimension reduction
- semi supervised classification
- machine learning
- similarity search
- image representation
- input space
- low rank
- training data
- label propagation
- active learning
- image processing
- original data
- data analysis
- manifold learning
- data distribution
- co training
- subspace learning
- sparse representation
- decision trees
- input data
- linear discriminant analysis
- small sample size
- metric learning
- weighted graph
- image segmentation
- clustering algorithm
- feature space
- image data