Unsupervised Discovery of Sparse Multimodal Representations in High Dimensional Data.
Samuel MeltonSharad RamanathanPublished in: CoRR (2019)
Keyphrases
- high dimensional data
- high dimensional
- sparse representation
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensionality
- dimension reduction
- data sets
- subspace clustering
- data analysis
- high dimension
- clustering high dimensional data
- high dimensions
- data points
- similarity search
- original data
- data distribution
- high dimensional datasets
- sparse coding
- manifold learning
- nonlinear dimensionality reduction
- text data
- input space
- linear discriminant analysis
- high dimensional data sets
- missing values
- visual data
- random projections
- high dimensional spaces
- small sample size
- variable selection
- low rank
- underlying manifold
- feature space
- principal component analysis
- high dimensional feature spaces
- database
- neural network
- data mining
- locally linear embedding
- subspace learning
- lower dimensional
- decision trees