Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation.
Dejiao ZhangLaura BalzanoPublished in: AISTATS (2016)
Keyphrases
- global convergence
- cost function
- convergence rate
- estimation algorithm
- linear programming
- particle swarm
- optimization method
- subspace clustering
- convergence speed
- hybrid algorithm
- ant colony optimization
- particle swarm optimization
- high dimensional
- objective function
- step size
- np hard
- artificial neural networks
- levenberg marquardt
- feature space