Parallel incremental power mean SVM for the classification of large-scale image datasets.
Thanh-Nghi DoanThanh-Nghi DoFrançois PouletPublished in: Int. J. Multim. Inf. Retr. (2014)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- classification method
- svm classifier
- classification algorithm
- svm classification
- feature vectors
- feature selection
- high classification accuracy
- feature space
- training set
- classification accuracy
- pattern recognition
- machine learning
- improves the classification accuracy
- image classification
- decision boundary
- multi class classification
- small scale
- k nearest neighbor
- partially supervised
- support vector machine classifiers
- feature extraction
- multiclass classification
- generalization ability
- incremental learning
- text classification
- machine learning algorithms
- training data
- kernel function
- rule based classifier
- training process
- supervised learning
- fold cross validation
- class labels
- linear svm
- multi class svm
- data sets
- unbalanced data
- training samples
- indoor outdoor