Trainable Discrete Feature Embeddings for Variational Quantum Classifier.
Napat ThumwanitChayaphol LortaraprasertHiroshi YanoRudy RaymondPublished in: CoRR (2021)
Keyphrases
- feature set
- improve the recognition accuracy
- training data
- feature values
- feature extractor
- feature selection
- feature subset
- feature ranking
- feature maps
- classification scheme
- decision trees
- image segmentation
- class labels
- image features
- quantum computation
- training set
- input features
- selection criterion
- learning classifier systems
- low dimensional
- high dimensional data
- classification algorithm
- linear classifiers
- feature vectors
- manifold learning
- quantum mechanics
- vector space
- complementary features
- svm classifier