Using misclassified training samples to improve classification.
Ram BalasubramanianSreeraman RajanRajamani DoraiswamiMaryhelen StevensonPublished in: SMC (1998)
Keyphrases
- training samples
- hyperplane
- feature space
- training examples
- training set
- nearest neighbor classifier
- training data
- decision boundary
- supervised learning
- learning algorithm
- number of training samples
- high dimensional
- face images
- test sample
- decision function
- training dataset
- feature vectors
- support vector machine svm
- discriminative information
- data sets
- binary classifiers
- support vectors
- representative samples
- class labels
- multi class
- machine learning
- classification method
- classification algorithm
- support vector machine
- video sequences
- sample set
- decision trees
- image processing
- feature selection