A Method for Solving LiDAR Waveform Decomposition Parameters Based on a Variable Projection Algorithm.
Ke WangGuolin LiuQiuxiang TaoLuyao WangYang ChenPublished in: Complex. (2020)
Keyphrases
- computational cost
- dynamic programming
- high accuracy
- cost function
- detection method
- optimization algorithm
- significant improvement
- synthetic and real images
- decomposition method
- improved algorithm
- segmentation algorithm
- experimental evaluation
- input data
- detection algorithm
- objective function
- decomposition algorithm
- k means
- parameter selection
- parameter settings
- combinatorial optimization
- fine tuning
- implicit enumeration
- em algorithm
- initial values
- preprocessing
- algebraic equations
- support vector machine svm
- clustering method
- computationally efficient
- levenberg marquardt
- segmentation method
- computational complexity
- matching algorithm
- optimal parameters
- recognition algorithm
- maximum likelihood estimation
- projection method
- tree structure
- similarity measure
- probabilistic model
- expectation maximization
- parameter space
- optimization method
- convergence rate
- learning algorithm
- energy function
- parameter estimation
- projection matrix
- optimal solution
- control parameters
- weight vector
- frequency domain
- decomposition methods
- continuous variables
- transfer function
- shape decomposition
- initial estimates