Orthogonal Nearest Neighbor Feature Space Embedding.
Ying-Nong ChenGang-Feng HoKuo-Chin FanChi-Hung ChuangChih-Chang YuPublished in: IIH-MSP (2012)
Keyphrases
- nearest neighbor
- feature space
- high dimensional
- data points
- training set
- nearest neighbor search
- k nearest neighbor
- knn
- embedding space
- input space
- high dimensional data
- principal component analysis
- feature vectors
- dimensionality reduction
- training samples
- nearest neighbor algorithm
- latent space
- low dimensional
- vector space
- feature extraction
- classification accuracy
- graph embedding
- nonlinear dimensionality reduction
- high dimensionality
- distance function
- index structure
- feature selection
- high dimensional feature space
- image representation
- mean shift
- kernel methods
- kernel function
- lower dimensional
- hyperplane
- support vector machine
- reverse nearest neighbor
- pairwise distances
- image retrieval
- locality sensitive hashing
- multiscale
- nearest neighborhood
- linear space
- support vector
- euclidean space
- feature set
- input data