Kernel density estimation-based sampling for neural network classification.
Firuz KamalovAshraf ElnagarPublished in: CoRR (2021)
Keyphrases
- kernel density estimation
- neural network
- pattern recognition
- density estimation
- support vector
- feature vectors
- decision trees
- density function
- image classification
- kernel density estimator
- mean shift
- statistical analysis
- model selection
- supervised learning
- machine learning
- training samples
- probability density function
- nearest neighbor
- support vector machine
- object recognition