One dimensional fractional order $TGV$: Gamma-convergence and bilevel training scheme (1612.05142v2)
Abstract: New fractional $r$-order seminorms, $TGVr$, $r\in \mathbb R$, $r\geq 1$, are proposed in the one-dimensional (1D) setting, as a generalization of the integer order $TGVk$-seminorms, $k\in\mathbb{N}$. The fractional $r$-order $TGVr$-seminorms are shown to be intermediate between the integer order $TGVk$-seminorms. A bilevel training scheme is proposed, where under a box constraint a simultaneous optimization with respect to parameters and order of derivation is performed. Existence of solutions to the bilevel training scheme is proved by $\Gamma$-convergence. Finally, the numerical landscape of the cost function associated to the bilevel training scheme is discussed for two numerical examples.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.