Exploring the Deep Feature Space of a Cell Classification Neural Network.
Ezra WebbCheng LeiChun-Jung HuangHirofumi KobayashiHideharu MikamiKeisuke GodaPublished in: CoRR (2018)
Keyphrases
- feature space
- neural network
- classification accuracy
- pattern recognition
- feature vectors
- feature selection
- learning vector quantization
- feature extraction
- high dimensionality
- classification scheme
- automatic classification
- training samples
- support vector machine
- machine learning
- image classification
- supervised learning
- training set
- artificial neural networks
- linearly separable
- feature set
- high dimensional
- nearest neighbour
- image processing
- decision trees
- dimension reduction
- fuzzy logic
- genetic algorithm
- training process
- neural network model
- classification algorithm
- kernel function
- kernel methods
- preprocessing
- classification method
- input space
- classification models
- svm classifier
- text classification
- low dimensional
- high dimensional feature space
- dimensionality reduction
- image retrieval