Sensing aware dimensionality reduction for nearest neighbor classification of high dimensional signals.
Zachary SunW. Clem KarlPrakash IshwarVenkatesh SaligramaPublished in: SSP (2012)
Keyphrases
- nearest neighbor classification
- dimensionality reduction
- high dimensional
- dimensionality reduction methods
- metric learning
- nearest neighbor
- low dimensional
- high dimensional data
- high dimensionality
- linear discriminant analysis
- data points
- feature space
- dimension reduction
- locally adaptive
- similarity search
- principal component analysis
- random projections
- preprocessing step
- nonlinear dimensionality reduction
- manifold learning
- distance function
- nearest neighbor classifier
- distance measure
- feature extraction
- pattern recognition
- principal components
- k nearest neighbor
- principal components analysis
- locally linear embedding
- feature selection
- training samples
- euclidean distance
- knn
- distance metric
- discriminant analysis
- semi supervised learning
- semi supervised
- data analysis
- sparse representation