Tensorized Projection for High-Dimensional Binary Embedding.
Weixiang HongJingjing MengJunsong YuanPublished in: AAAI (2018)
Keyphrases
- high dimensional
- hamming space
- locality sensitive
- low dimensional
- binary data
- embedding space
- dimensionality reduction
- vector space
- output space
- hamming distance
- nonlinear dimensionality reduction
- binary codes
- similarity search
- feature space
- low dimensional structure
- non binary
- sparse data
- manifold learning
- high dimensional problems
- nearest neighbor
- data points
- graph embedding
- projection method
- low dimensional spaces
- high dimensionality
- high dimensional data
- hash functions
- noisy data
- dimension reduction
- kernel function
- pairwise distances
- euclidean space
- small sample size
- variable selection
- neural network
- input space
- metric space
- microarray data
- gene expression data
- feature selection