Riemannian Stochastic Variance Reduced Gradient Algorithm with Retraction and Vector Transport.
Hiroyuki SatoHiroyuki KasaiBamdev MishraPublished in: SIAM J. Optim. (2019)
Keyphrases
- learning algorithm
- np hard
- dynamic programming
- monte carlo
- worst case
- optimization algorithm
- matching algorithm
- preprocessing
- search space
- k means
- cost function
- computational cost
- gradient method
- standard deviation
- distance metric
- probabilistic model
- computational complexity
- objective function
- segmentation algorithm
- detection algorithm
- optimal solution
- vector space
- feature extraction