Combining Feature Selection with Neural Networks for Polish Sign Alphabet Recognition.
Maciej AdamczykSinh Hoa NguyenMarcin SydowPublished in: WI/IAT (2020)
Keyphrases
- neural network
- feature selection
- pattern recognition
- feature extraction
- recognition accuracy
- object recognition
- recognition rate
- machine learning
- image recognition
- sign recognition
- recognition process
- text categorization
- classification accuracy
- artificial neural networks
- pattern matching
- microarray data
- multi layer
- feature space
- recognition algorithm
- rule extraction
- unsupervised learning
- multi class
- unsupervised feature selection
- self organizing maps
- visual recognition
- discriminative features
- back propagation
- model selection
- mutual information
- feature set
- irrelevant features
- word recognition
- american sign language
- support vector
- learning algorithm
- multilayer perceptron
- training process
- multi task
- character recognition
- recurrent neural networks
- high dimensional
- activity recognition
- action recognition
- dimensionality reduction
- fuzzy logic