An Efficient and Accurate Complex Nakagami Samples Generator Based on Inverse Transform Method.
Tao ZhouYueheng LiCai WuPublished in: ICCT (2019)
Keyphrases
- high accuracy
- computationally efficient
- highly accurate
- high precision
- support vector machine svm
- classification method
- significant improvement
- experimental evaluation
- computational cost
- completely automatic
- training samples
- model selection
- pairwise
- clustering method
- synthetic data
- face recognition
- test data
- real world
- image set
- neural network
- data sets