Improving Random Projections With Extra Vectors to Approximate Inner Products.
Yulong LiZhihao KuangJiang Yan LiKeegan KangPublished in: IEEE Access (2020)
Keyphrases
- random projections
- lower dimensional
- compressive sensing
- dimensionality reduction
- compressed sensing
- sparse representation
- original data
- image reconstruction
- random sampling
- dimension reduction
- principal component analysis
- hash functions
- input data
- low dimensional
- feature vectors
- support vector
- multiscale
- high dimensionality
- upper bound
- high dimensional