Quantum image classification using principal component analysis.
Mateusz OstaszewskiPrzemyslaw SadowskiPiotr GawronPublished in: CoRR (2015)
Keyphrases
- image classification
- principal component analysis
- feature extraction
- principal components
- quantum computation
- dimensionality reduction
- bag of words
- image representation
- dimension reduction
- independent component analysis
- visual features
- visual recognition
- discriminant analysis
- linear discriminant analysis
- low dimensional
- face recognition
- covariance matrix
- visual words
- image features
- quantum computing
- singular value decomposition
- face images
- sparse coding
- feature space
- lower dimensional
- neural classifier
- quantum mechanics
- bag of features
- random projections
- quantum inspired
- database
- sparse representation
- multi label
- image processing
- feature vectors
- remotely sensed data
- feature selection