Shift-invariant grey wolf optimizer exploiting reference points and random selection of step-sizes.
Keiji TatsumiNao KinoshitaPublished in: SICE (2022)
Keyphrases
- shift invariant
- reference points
- step size
- random selection
- wavelet coefficients
- reference point
- wavelet domain
- randomly selected
- discrete wavelet transform
- wavelet transform
- rotation invariant
- multiresolution
- test set
- active learning
- convergence rate
- cost function
- training set
- multiscale
- subband
- k means
- high frequency
- sparse coding
- low frequency
- image denoising
- position and orientation
- fingerprint images
- optimization algorithm
- feature vectors
- texture analysis
- computer vision
- co occurrence
- high quality