Ranking Principal Components in Face Spaces through AdaBoost.M2 Linear Ensemble.
Tiene A. FilisbinoGilson A. GiraldiCarlos Eduardo ThomazPublished in: SIBGRAPI (2016)
Keyphrases
- principal components
- ensemble methods
- ensemble learning
- principal component analysis
- linear features
- base classifiers
- classifier ensemble
- learning algorithm
- face images
- face detection
- multivariate data
- training data
- multi class
- human faces
- weak learners
- adaboost algorithm
- weight vector
- dimensionality reduction
- face detector
- majority voting
- random forests
- neural network
- feature selection
- weak classifiers
- hyperplane
- principal component regression
- principal components analysis
- facial features
- ensemble classifier
- kernel space
- support vector
- feature set
- kernel principal component analysis
- decision tree ensembles
- random forest
- decision trees
- pattern recognition
- spectral data
- covariance matrix
- dimension reduction
- boosting algorithms
- generalization ability
- facial expressions