Investigating the Impact of Unsupervised Feature-Extraction from Multi-Wavelength Image Data for Photometric Classification of Stars, Galaxies and QSOs.
Annika LindhPublished in: AICS (2016)
Keyphrases
- feature extraction
- image data
- pattern classification
- feature vectors
- decision trees
- pattern recognition
- support vector machine svm
- feature selection
- image classification
- supervised learning
- feature space
- feature extraction and classification
- classification accuracy
- image feature extraction
- extracted features
- unsupervised learning
- class labels
- preprocessing
- supervised classification
- classification algorithm
- image quality
- machine learning
- dimension reduction
- frequency domain
- classification method
- automatic classification
- unsupervised classification
- support vector machine
- face recognition
- feature representation
- data sets
- partially supervised
- discriminant analysis
- infrared
- feature set
- support vector
- linear discriminant analysis
- gabor filters
- training samples
- model selection
- semi supervised
- unsupervised clustering
- principle component analysis
- extracting features
- wavelet transform
- feature fusion
- knn
- multiresolution