A Three-Dimensional Subspace Algorithm Based on the Symmetry of the Approximation Model and WYL Conjugate Gradient Method.
Guoxin WangShengwei YaoMingyang PeiJieqiong XuPublished in: Symmetry (2023)
Keyphrases
- conjugate gradient method
- three dimensional
- cost function
- objective function
- input data
- convergence property
- closed form
- probabilistic model
- training algorithm
- learning algorithm
- em algorithm
- optimal solution
- levenberg marquardt
- conjugate gradient
- expectation maximization
- k means
- neural model
- least squares
- parameter estimation
- convergence rate
- linear model
- similarity measure
- image sequences
- neural network