Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization.
Rushil AnirudhBhavya KailkhuraJayaraman J. ThiagarajanPeer-Timo BremerPublished in: CVPR Workshops (2017)
Keyphrases
- principal component analysis
- optimization algorithm
- global optimization
- dimensionality reduction
- optimization process
- optimization problems
- neural network
- random sampling
- optimization methods
- closed form
- high dimensional data
- feature space
- constrained optimization
- sampling strategy
- stochastic gradient
- data sets
- orthogonal matching pursuit
- combinatorial optimization
- monte carlo
- markov chain
- low dimensional
- data structure