Orthogonal bipolar vectors as multilayer perceptron targets for biometric pattern recognition.
José Ricardo Gonçalves ManzanShigueo NomuraKeiji YamanakaPublished in: FSKD (2015)
Keyphrases
- multilayer perceptron
- pattern recognition
- neural network
- input vector
- input vectors
- back propagation
- radial basis function
- artificial neural networks
- probabilistic neural networks
- positive and negative
- hidden layer
- neural network model
- pattern classification
- feature extraction
- image processing
- commonly applied
- feature vectors
- support vector machine svm
- feedforward neural networks
- fuzzy logic
- machine learning
- modular neural network
- backpropagation algorithm
- radial basis function network
- activation function
- high density
- feed forward
- computer vision
- data sets
- feed forward neural networks
- biometric data
- neural nets
- dimensionality reduction