Composition of Learning Patterns Using Spherical Self-Organizing Maps in Image Analysis with Subspace Classifier.
Nobuo MatsudaFumiaki TajimaHideaki SatoPublished in: WSOM (2014)
Keyphrases
- self organizing maps
- image analysis
- learning algorithm
- unsupervised learning
- learning process
- input data
- fuzzy classification
- pattern recognition
- image processing
- active learning
- learning vector quantization
- supervised learning
- computer vision
- feature space
- training data
- training set
- maximum likelihood
- data analysis
- database
- feature maps
- reinforcement learning