Subspace Communication Driven Search for High Dimensional Optimization.
Logan MathesenKaushik Keezhnagar ChandrasekarXinsheng LiGiulia PedrielliK. Selçuk CandanPublished in: WSC (2019)
Keyphrases
- high dimensional
- low dimensional
- search algorithm
- dimensionality reduction
- high dimensional data
- feature space
- global search
- lower dimensional
- search space
- nearest neighbor search
- global optimization
- optimization algorithm
- search strategy
- parameter space
- metadata
- multi dimensional
- high dimensionality
- data driven
- optimization problems
- manifold learning
- communication systems
- constrained optimization
- subspace clustering
- high dimensional spaces
- communication channels
- similarity search
- stochastic gradient
- nearest neighbor
- multi objective
- keywords