Orthogonalizing EM: A Design-Based Least Squares Algorithm.
Shifeng XiongBin DaiJared D. HulingPeter Z. G. QianPublished in: Technometrics (2016)
Keyphrases
- least squares
- expectation maximization
- experimental evaluation
- matching algorithm
- optimal solution
- np hard
- learning algorithm
- computationally efficient
- probabilistic model
- computational cost
- cost function
- parameter estimation
- optimization algorithm
- curve fitting
- objective function
- recognition algorithm
- theoretical analysis
- design process
- times faster
- improved algorithm
- high accuracy
- worst case
- dynamic programming
- significant improvement
- k means
- search space
- sparse linear
- neural network
- hardware implementation
- levenberg marquardt
- bayesian framework
- nonlinear least squares
- monte carlo
- segmentation algorithm
- input data
- simulated annealing
- support vector machine
- computational complexity
- case study
- computer vision