RULLS: Randomized Union of Locally Linear Subspaces for Feature Engineering.
Namita LokareJorge SilvaIlknur Kaynar KabulPublished in: CoRR (2018)
Keyphrases
- feature engineering
- linear subspace
- dependency parsing
- low dimensional
- text classification
- image space
- face recognition
- subspace learning
- natural language processing
- machine learning
- labeled data
- subspace clustering
- multiple views
- image set
- multi frame
- speech processing
- spherical harmonics
- high dimensional
- high dimensional data
- manifold learning
- signal processing
- dimensionality reduction
- training data
- data sets