Hierarchical Feature Extraction for Compact Representation and Classification of Datasets.
Markus SchubertJens KohlmorgenPublished in: ICONIP (1) (2007)
Keyphrases
- feature extraction
- feature representation
- feature vectors
- pattern classification
- pattern representation
- image classification
- benchmark datasets
- pattern recognition
- feature selection
- hierarchical classification
- support vector machine svm
- support vector
- preprocessing
- classification accuracy
- robust classification
- feature space
- image representation
- uci repository
- decision trees
- dimension reduction
- extracted features
- text classification
- classification scheme
- image processing
- data sets
- feature selection algorithms
- uci machine learning repository
- extracting features
- hierarchical decomposition
- compact representations
- feature extraction and classification
- image feature extraction
- classification algorithm
- frequency domain
- face recognition
- feature set
- dimensionality reduction
- classification models
- discriminant analysis
- class labels
- hierarchical representation
- training samples
- unsupervised learning
- principal component analysis
- supervised learning
- image features
- knn