Dimensionality Reduction in Deep Learning via Kronecker Multi-layer Architectures.
Jarom D. HogueRobert M. KirbyAkil NarayanPublished in: CoRR (2022)
Keyphrases
- multi layer
- deep learning
- dimensionality reduction
- unsupervised learning
- unsupervised feature learning
- neural network
- pattern recognition
- principal component analysis
- feature extraction
- machine learning
- high dimensional data
- neural nets
- high dimensional
- feature space
- data points
- mental models
- feature selection
- weakly supervised
- training set
- text mining
- computer vision