Support vector machines for histogram-based image classification.
Olivier ChapellePatrick HaffnerVladimir VapnikPublished in: IEEE Trans. Neural Networks (1999)
Keyphrases
- image classification
- support vector
- learning machines
- large margin classifiers
- svm classifier
- feature extraction
- image features
- bag of words
- visual features
- image representation
- svm classification
- kernel function
- logistic regression
- support vector machine
- multi class classification
- visual words
- neural network
- generalization ability
- multi class
- cross validation
- decision function
- radial basis function
- sparse coding
- hyperplane
- classification accuracy
- maximum margin
- bag of features
- binary classification
- scheduling problem
- loss function
- multiscale
- parallel machines
- data sets
- support vector regression
- kernel methods
- multi label