Pattern Recognition Based on Relative Position of Local Features Using Self-Organizing Map.
Keiichi HorioAkira AikawaTakeshi YamakawaPublished in: ICICIC (2) (2006)
Keyphrases
- self organizing maps
- pattern recognition
- relative position
- neural network
- probabilistic neural network
- feature extraction
- feature maps
- low level
- feature vectors
- image features
- unsupervised learning
- input data
- feature set
- spatial relationships
- pattern classification
- image data
- computer vision
- model selection
- data sets
- co occurrence
- extracted features
- k means
- feature space
- learning vector quantization
- som neural network