Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information.
Francesco RennaLiming WangXin YuanJianbo YangGalen ReevesA. Robert CalderbankLawrence CarinMiguel R. D. RodriguesPublished in: CoRR (2014)
Keyphrases
- high dimensional
- low dimensional
- feature space
- discriminative information
- spatial information
- feature extraction
- high dimensionality
- dimensionality reduction
- feature values
- classification process
- dimension reduction
- feature selection
- structural information
- classification method
- high dimensional data
- feature set
- prior knowledge
- highly discriminative
- eeg signals
- feature representation
- manifold learning
- pattern recognition
- feature vectors
- classification accuracy
- image features
- training samples
- image reconstruction
- svm classifier
- similarity search
- nearest neighbor
- pattern classification
- support vector machine svm
- input space
- classification models
- extracted features
- text classification
- support vector
- face recognition
- machine learning
- signal processing