Partial Least Squares for Feature Extraction of SPECT Images.
Fermín SegoviaJavier RamírezJuan Manuel GórrizRosa ChavesDiego Salas-GonzalezMíriam LópezIgnacio ÁlvarezPablo PadillaCarlos García PuntonetPublished in: HAIS (1) (2010)
Keyphrases
- partial least squares
- spect images
- feature extraction
- dimension reduction
- discriminant analysis
- principal component analysis
- computerized tomography
- diagnostic tool
- normal subjects
- left ventricular
- face recognition
- pattern classification
- linear discriminant analysis
- feature selection
- image processing
- clinical data
- factor analysis
- dimensionality reduction
- high dimensional
- feature space
- support vector machine svm
- high dimensionality
- image data
- feature vectors
- variable selection
- image classification
- computer vision
- extracted features
- independent component analysis
- ls svm
- preprocessing
- pattern recognition
- singular value decomposition