The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The aim of this work is to prove a chain rule and an -lower semicontinuity theorems for integral functional defined on . Moreover we apply this result in order to obtain new relaxation and -convergence result without any coerciveness and any continuity assumption of the integrand with respect to the variable .
The aim of this paper is to provide a rigorous variational formulation for the detection of points in -d biological images. To this purpose we introduce a new functional whose minimizers give the points we want to detect. Then we define an approximating sequence of functionals for which we prove the -convergence to the initial one.
The aim of this paper is to provide a rigorous variational formulation for
the detection of points in -d biological images. To this purpose
we introduce a new functional whose minimizers give the points we want to detect. Then we define an approximating sequence of functionals for
which we prove the -convergence to the initial one.
Download Results (CSV)