Recognition of Pattern Position and Shape by Population Vector in Spatial Spreading Associative Neural Network.
Kiyomi NakamuraAkira TakarajimaPublished in: International Conference on Evolutionary Computation (1996)
Keyphrases
- hidden layer
- neural network
- back propagation
- shape recognition
- recurrent neural networks
- associative memory
- artificial neural networks
- relative position
- object recognition
- positional information
- pattern recognition
- recognition rate
- spatial location
- pattern matching
- recognition accuracy
- spatial data
- spatio temporal
- feature extraction
- spatial and temporal
- partially occluded objects
- shape descriptors
- feature vectors
- spatial information
- shape model
- spectral characteristics
- three dimensional objects
- vector data
- spatial arrangement
- spatial extent
- recognition algorithm
- shape analysis
- spatial databases
- neural network model
- spatial layout
- reference object
- extended gaussian image
- spatial distribution
- shape representation
- shape matching
- multiscale
- position and orientation
- association patterns
- shape features
- activity recognition
- action recognition
- spatial distance
- spatial configurations
- free form surfaces
- precise localization
- image segmentation