High Accuracy Classification of White Blood Cells using TSLDA Classifier and Covariance Features.
Hamed TalebiAmin RanjbarAlireza DavoudiHamed GholamiMohammad Bagher MenhajPublished in: CoRR (2019)
Keyphrases
- classification process
- feature set
- classification method
- svm classifier
- feature space
- classification accuracy
- classification models
- high accuracy
- class labels
- extracted features
- multiple classifiers
- feature extraction
- final classification
- classification scheme
- feature reduction
- feature vectors
- feature extraction and classification
- feature values
- support vector machine
- decision trees
- bayesian classifier
- decision tree classifiers
- support vector
- input features
- feature subset
- classification algorithm
- classification schemes
- classification rate
- feature histograms
- classification decisions
- nearest neighbor classifier
- svm classification
- feature selection
- training set
- feature selection algorithms
- support vector machine classifier
- training samples
- naive bayesian classifier
- classifier combination
- bayes classifier
- feature maps
- weak classifiers
- supervised classifiers
- train a support vector machine
- training data
- individual classifiers
- learning vector quantization
- supervised classification
- supervised learning
- classification performances
- input vectors
- support vector machine svm
- fisher linear discriminant
- knn
- roc curve
- discriminative classifiers
- probabilistic classifiers
- ensemble classifier
- naive bayes classifier
- classifier ensemble
- boosted classifiers
- sufficient training data
- histogram intersection kernel
- highest accuracy
- image classification
- naive bayes
- training examples
- decision forest
- single feature
- decision boundary
- automatic recognition
- learning algorithm
- discriminative learning