High-dimensional Neural Feature using Rectified Linear Unit and Random Matrix Instance.
Alireza M. JavidArun VenkitaramanMikael SkoglundSaikat ChatterjeePublished in: CoRR (2020)
Keyphrases
- high dimensional
- network architecture
- neural network
- linear features
- square root
- semidefinite
- sparse data
- low dimensional
- laplace transform
- feature vectors
- bio inspired
- pseudo inverse
- dimensionality reduction
- linearly independent
- high dimensionality
- similarity search
- image features
- eigenvalue decomposition
- positive definite
- weight vector
- stereo images
- linear systems
- variable selection
- gene expression data
- multi dimensional
- feature set
- least squares
- data points
- feature space
- feature selection