Classification of glomerular hypercellularity using convolutional features and support vector machine.
Paulo ChagasLuiz SouzaIkaro AraújoNayze AldemanAngelo A. DuarteMichele AngeloWashington L. C. dos-SantosLuciano OliveiraPublished in: CoRR (2019)
Keyphrases
- support vector machine
- svm classifier
- feature vectors
- classification method
- svm classification
- classification accuracy
- feature space
- feature extraction
- feature set
- support vector machine classifiers
- classification models
- support vector machine svm
- extracted features
- support vector
- pattern recognition
- feature analysis
- machine learning
- classification algorithm
- high classification accuracy
- classification process
- high dimensionality
- feature values
- decision boundary
- class labels
- input features
- image classification
- extracting features
- multi class
- selected features
- feature representation
- feature selection
- decision trees
- benchmark datasets
- kernel function
- text classification
- small sample
- histogram intersection kernel
- classification performances
- feature reduction
- decision forest
- generalization ability
- discriminative features
- ensemble classifier
- machine learning algorithms
- dimensionality reduction
- training set
- tree kernels
- similarity measure
- k nearest neighbor
- face recognition
- pattern classification
- feature subset