A First Approximation to Linear CRF classifiers for Finger Movement Classification.
Jorge Humberto Cristancho CuervoLácides Antonio Ripoll SolanoJaime Fernando Delgado SaaPublished in: ICBBB (2022)
Keyphrases
- support vector
- classification systems
- decision trees
- classification method
- classification models
- classification rate
- classification algorithm
- classification accuracy
- pattern recognition
- supervised classification
- class labels
- classification process
- feature set
- closed form
- training samples
- accurate classification
- discriminant function
- discriminant functions
- classifier combination
- multiple classifiers
- svm classifier
- multi category
- probabilistic classifiers
- training set
- optimum path forest
- machine learning methods
- feature selection
- rule based classifier
- classification procedure
- improves the classification accuracy
- machine learning algorithms
- support vector machine svm
- binary classifiers
- nearest neighbor classifier
- multiclass classification
- extracted features
- classification decisions
- higher classification accuracy
- decision tree classifiers
- text classification
- majority voting
- decision boundary
- naive bayes
- machine learning
- roc curve
- conditional random fields
- feature extraction
- training data
- correctly classified
- k nearest neighbour
- ensemble classifier
- weak classifiers
- linear support vector machines
- feature vectors
- feature space
- support vector machine
- supervised learning
- markov random field
- image segmentation
- fold cross validation