Convergence Rate Comparison of Proximal Algorithms for Non-Smooth Convex Optimization With an Application to Texture Segmentation.
Luis M. Briceño-AriasNelly PustelnikPublished in: IEEE Signal Process. Lett. (2022)
Keyphrases
- convergence rate
- convex optimization
- texture segmentation
- primal dual
- convex optimization problems
- convergence speed
- step size
- global convergence
- image processing
- gradient method
- learning algorithm
- wavelet transform
- texture analysis
- cost function
- total variation
- object recognition
- image segmentation
- interior point methods