Handwritten Digit Recognition with Kernel-Based LVQ Classifier in Input Space.
Hairong LvWenyuan WangPublished in: ISNN (2) (2005)
Keyphrases
- input space
- handwritten digit recognition
- feature space
- learning vector quantization
- class labels
- training set
- kernel function
- support vector machine
- input data
- kernel trick
- support vector
- kernel pca
- kernel methods
- hyperplane
- supervised learning
- high dimensional feature space
- dimensionality reduction
- training data
- high dimensional
- feature selection
- multiple kernel learning
- k nearest neighbor
- decision trees
- svm classifier
- high dimensional data
- decision boundary
- kernel matrix
- linearly separable
- input patterns
- data points
- generalization ability
- feature set
- output space
- linear classifiers
- support vectors
- data sets
- binary classifiers
- neural network
- training samples
- low dimensional
- knn
- nearest neighbor
- receptive fields
- small sample
- prior knowledge
- learning algorithm
- feature vectors
- multi class