Kernel density estimation-based sampling for neural network classification.
Firuz KamalovAshraf ElnagarPublished in: ISNCC (2021)
Keyphrases
- kernel density estimation
- neural network
- density estimation
- pattern recognition
- kernel density estimator
- feature extraction
- supervised learning
- machine learning
- mean shift
- support vector machine
- feature selection
- feature vectors
- machine learning methods
- support vector
- decision trees
- knowledge discovery
- image classification
- text classification
- training samples
- sample size
- visual tracking
- higher dimensional