Dimensionality Reduction for Registration of High-Dimensional Data Sets.
Min XuHao ChenPramod K. VarshneyPublished in: IEEE Trans. Image Process. (2013)
Keyphrases
- high dimensional data sets
- dimensionality reduction
- high dimensional data
- high dimensional
- dimensionality reduction methods
- data points
- low dimensional
- high dimensionality
- multi dimensional
- small sample size
- feature space
- pattern recognition
- nearest neighbor search
- nearest neighbor
- linear discriminant analysis
- hyperplane
- principal component analysis
- dimensional data
- input space
- random projections
- sparse representation
- preprocessing step
- feature extraction
- feature selection
- locally linear embedding
- principal components
- neural network
- similarity search
- data sets
- principal components analysis
- high dimensional spaces
- data mining
- euclidean distance
- model selection
- input data
- image retrieval
- data analysis
- database systems
- machine learning