Ripeness Classification of Cacao Using Cepstral-Based Statistical Features and Support Vector Machine.
Juvy Amor M. GalindoJamie Eduardo C. RosalJocelyn Flores VillaverdePublished in: IICAIET (2022)
Keyphrases
- support vector machine
- svm classifier
- feature vectors
- classification method
- classification accuracy
- svm classification
- feature set
- feature space
- support vector
- feature extraction
- classification models
- selected features
- extracted features
- classification process
- feature selection
- machine learning
- input features
- extracting features
- high classification accuracy
- training set
- support vector machine svm
- feature reduction
- feature analysis
- classification algorithm
- multi class
- feature values
- pattern recognition
- training data
- feature representation
- discriminative features
- class labels
- k nearest neighbor
- pattern classification
- decision trees
- image features
- decision boundary
- support vector machine classifiers
- decision forest
- high dimensional
- naive bayes
- benchmark datasets
- kernel methods
- text classification
- classification performances
- data sets
- speech recognition
- audio features
- image classification
- knn
- high dimensionality
- feature subset
- hyperplane
- multiple kernel learning
- generalization ability
- multi class classification
- feature selection algorithms