Support vector machines and Gabor kernels for object recognition on a humanoid with active foveated vision.
Ales UdeChris GaskettGordon ChengPublished in: IROS (2004)
Keyphrases
- support vector
- large margin classifiers
- object recognition
- learning machines
- kernel function
- image representation
- kernel methods
- support vector machine
- multi class
- feature space
- maximum margin
- multiple kernel learning
- computer vision
- polynomial kernels
- cross validation
- logistic regression
- gabor filters
- generalization bounds
- support vectors
- classification accuracy
- svm classification
- soft margin
- loss function
- feature selection
- image features
- object detection
- binary classification
- feature extraction
- d objects
- svm classifier
- support vector regression
- generalization ability
- model selection
- rbf kernel
- radial basis function
- feature vectors
- gabor wavelets
- face recognition
- kernel parameters
- margin maximization
- support vector classification
- string kernels
- hyperplane
- degrees of freedom
- template matching
- training examples
- linear combination
- feature set