Light Spanners for High Dimensional Norms via Stochastic Decompositions.
Arnold FiltserOfer NeimanPublished in: Algorithmica (2022)
Keyphrases
- high dimensional
- dimensionality reduction
- low dimensional
- high dimensionality
- multi modal
- high dimensional data
- similarity search
- parameter space
- multi agent systems
- metric space
- stochastic programming
- case study
- noisy data
- gene expression data
- stochastic optimization
- monte carlo
- feature space
- multi agent
- high dimensional problems
- real time
- learning automata
- light scattering
- high dimensional spaces
- stochastic processes
- variable selection
- sparse coding
- singular value decomposition
- multi dimensional
- hidden markov models
- data analysis