PCA Enhanced Training Data for Adaboost.
Arne EhlersFlorian BaumannRalf SpindlerBirgit GlasmacherBodo RosenhahnPublished in: CAIP (1) (2011)
Keyphrases
- training data
- principal component analysis
- learning algorithm
- decision trees
- data sets
- principal components analysis
- face recognition
- principal components
- face images
- supervised learning
- appearance based object recognition
- principle component analysis
- test data
- face detection
- labeled data
- feature extraction
- support vector machine
- classification accuracy
- dimensionality reduction
- training dataset
- naive bayes
- feature space
- semi supervised learning
- training samples
- training process
- covariance matrix
- linear discriminant analysis
- high dimensional
- prior knowledge
- independent component analysis
- low dimensional
- dimension reduction
- classification models
- class distribution
- test set
- unlabeled data
- object detection
- training instances
- weak learners
- input data