Open Set Recognition Using the Feature Space of Deep Neural Networks.
Daiju KanaokaYuichiro TanakaHakaru TamukohPublished in: ISPACS (2021)
Keyphrases
- feature space
- neural network
- feature vectors
- high dimensional
- feature selection
- principal component analysis
- artificial neural networks
- training set
- input space
- mean shift
- fuzzy logic
- dimensionality reduction
- neural network model
- high dimensionality
- kernel function
- fuzzy systems
- low dimensional
- pattern recognition
- network architecture
- image representation
- hyperplane
- back propagation
- classification accuracy
- feature set
- kernel methods
- deep learning
- feature extraction
- image retrieval
- data points
- input data
- nearest neighbor
- linear discriminant analysis
- visual words
- dimension reduction
- self organizing maps
- support vector machine
- training samples