Performance evaluation of low-dimensional sifts.
Duanduan YangAndrzej SluzekPublished in: ICIP (2010)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- high dimensional data
- manifold learning
- input space
- principal component analysis
- euclidean space
- data points
- vector space
- dimension reduction
- linear subspace
- locally linear embedding
- subspace learning
- feature representation
- feature space
- multidimensional scaling
- data sets