Training neural networks on high-dimensional data using random projection.
Piotr Iwo WójcikMarcin KurdzielPublished in: Pattern Anal. Appl. (2019)
Keyphrases
- high dimensional data
- random projections
- dimensionality reduction
- dimension reduction
- neural network
- low dimensional
- original data
- high dimensionality
- sparse representation
- pattern recognition
- lower dimensional
- high dimensional
- nearest neighbor
- data points
- subspace clustering
- similarity search
- distance preserving
- linear discriminant analysis
- data sets
- principal component analysis
- data analysis
- dimensionality reduction methods
- singular value decomposition
- feature extraction
- feature space
- data distribution
- training set
- knn
- unsupervised learning
- machine learning
- image reconstruction
- support vector
- input data
- database systems
- feature selection
- supervised learning
- multi dimensional