An End-to-End-Based Low Dimensional Binary Embedding for Chrysanthemum Phenotypic Petal Similarity Evaluation.
Peisen YuanZhaoyu ZhaiJosé-Fernán MartínezHuanliang XuPublished in: IEEE Access (2019)
Keyphrases
- end to end
- low dimensional
- multidimensional scaling
- binary codes
- nonlinear dimensionality reduction
- hamming space
- high dimensional
- dimensionality reduction
- admission control
- hamming distance
- graph embedding
- vector space
- ad hoc networks
- multipath
- wireless ad hoc networks
- congestion control
- high bandwidth
- embedding space
- real world
- internet protocol
- content delivery
- distance measure
- pairwise distances
- high dimensional data