Symbols Detection and Classification using Graph Neural Networks.
Guillaume RentonMuhammet BalcilarPierre HérouxBenoit GaüzèrePaul HoneineSébastien AdamPublished in: Pattern Recognit. Lett. (2021)
Keyphrases
- neural network
- pattern recognition
- neyman pearson
- classification accuracy
- detection algorithm
- random walk
- automatic classification
- feature space
- back propagation
- image classification
- text classification
- detection method
- decision trees
- classification scheme
- graph structure
- rule extraction
- pattern classification
- classification algorithm
- machine learning
- feature selection
- artificial neural networks
- feature vectors
- support vector machine
- fuzzy logic
- classification models
- robust detection
- support vector
- automatic detection
- decision rules
- directed acyclic graph
- unsupervised learning
- mammogram images
- graph classification
- model selection
- feature extraction and classification
- feature extraction
- multi layer perceptron
- rough sets
- structured data
- classification method
- false alarms
- class labels
- graph theory
- bipartite graph
- support vector machine svm
- false positives
- neural network model
- directed graph