Exploring the Common Principal Subspace of Deep Features in Neural Networks.
Haoran LiuHaoyi XiongYaqing WangHaozhe AnDongrui WuDejing DouPublished in: CoRR (2021)
Keyphrases
- neural network
- feature space
- pattern recognition
- feature extraction
- image features
- benchmark datasets
- feature vectors
- fault diagnosis
- feature set
- principal components
- low level
- unsupervised feature learning
- multilayer perceptron
- spatial information
- subspace learning
- basis vectors
- self organizing maps
- dimensionality reduction
- false positives
- back propagation
- image classification
- co occurrence
- principal component analysis
- semi supervised
- prior knowledge
- expert systems
- genetic algorithm