Classification of Germination Images of Pear Pollen Using Random Forest and Convolution Neural Network Models.
Ung YangSeungwon OhSeung Gon WiBok-Rye LeeSang-Hyun LeeMin-Soo KimPublished in: IEEE Access (2021)
Keyphrases
- random forest
- neural network model
- image classification
- decision trees
- feature set
- random forests
- input image
- fold cross validation
- multi label
- image features
- neural network
- feature extraction
- image processing
- artificial neural networks
- classification accuracy
- ensemble methods
- cancer classification
- small number
- image set
- multi layer perceptron
- feature importance
- decision tree learning algorithms
- class labels
- feature vectors
- training set
- feature space
- object recognition
- support vector
- feature selection
- svm classifier
- machine learning methods
- benchmark datasets
- support vector machine
- class specific
- machine learning