Two dimensional (2D) subspace classifiers for image recognition.
Hakan CevikalpHasan Serhan YavuzAtalay BarkanaPublished in: EUSIPCO (2006)
Keyphrases
- image recognition
- pattern recognition
- subspace methods
- three dimensional
- image classification
- face recognition
- feature subspace
- semi supervised dimensionality reduction
- principal component analysis
- feature space
- test sample
- high dimensional data
- image retrieval
- training data
- dimensionality reduction
- low dimensional
- machine learning algorithms
- linear classifiers
- feature selection
- naive bayes
- decision trees
- feature extraction
- subspace learning
- training set
- image processing
- training samples
- high dimensional
- subspace clustering
- packing problem
- classification algorithm
- correlation filters
- feature set
- data mining