Truncated isotropic principal component classifier for image classification.
Alessandro RozzaGiuseppe SerraCostantino GranaPublished in: ICIP (2014)
Keyphrases
- principal components
- image classification
- linear classifiers
- feature set
- svm classifier
- classifier training
- principal component analysis
- dimensionality reduction
- image representation
- multivariate data
- feature extraction
- hyperplane
- principal component regression
- feature space
- image features
- support vector machine
- kernel space
- bag of words
- learning algorithm
- class labels
- feature selection
- training data
- classification process
- training samples
- support vector
- correlation coefficient
- covariance matrix
- decision trees
- basis functions
- classification rate
- multi label
- training set
- class specific
- high dimensional
- machine learning
- classification accuracy
- neural network