The Effects of Scale and Distribution on a Deep Neural Network Iterative Classification System of Spatial Data Streams.
Kurt ClarkeWendy OsbornPublished in: NBiS (2023)
Keyphrases
- neural network
- data streams
- learning vector quantization
- pattern recognition
- spatial distribution
- sliding window
- classification accuracy
- image classification
- probability distribution
- pattern classification
- multi layer perceptron
- data distribution
- classification method
- classification algorithm
- self organizing maps
- probabilistic neural network
- kohonen self organizing map
- text classification
- anytime classification
- fuzzy logic
- scale space
- support vector
- feature vectors
- artificial neural networks
- training process
- classification scheme
- spatial relations
- spatial and temporal
- training set
- decision trees
- spatial information
- feature selection
- machine learning
- back propagation
- feature extraction
- data stream classification
- data sets
- concept drift
- spatial databases
- feature space
- spatio temporal
- spatial data
- support vector machine
- class labels
- support vector machine svm