Tangent Vector Kernels for Invariant Image Classification with SVMs.
Alexei PozdnoukhovSamy BengioPublished in: ICPR (3) (2004)
Keyphrases
- image classification
- support vector
- kernel function
- svm classification
- fisher kernel
- svm classifier
- bag of words
- kernel methods
- feature vectors
- polynomial kernels
- image features
- dot product
- feature space
- multiple kernel learning
- image representation
- support vector machine
- feature extraction
- visual words
- rbf kernel
- linear svm
- gaussian kernel
- multiscale
- large margin classifiers
- support vector machine svm
- margin maximization
- multi class
- feature selection
- vector space
- multi label
- binary classification
- maximum margin
- generalization ability
- gaussian kernels
- sparse kernel
- translation invariant
- kernel principal component analysis
- kernel svms
- support vectors
- classification using support vector machines
- multi class classification
- learning machines
- standard svm
- logistic regression
- kernel machines
- affine invariant
- hyperplane
- multiple kernel
- neural network
- training data
- scale space
- radial basis function
- kernel parameters
- soft margin
- tree kernels
- string kernels
- reproducing kernel hilbert space