In this paper, we propose a constraint programming approach to cutset problems and design a global constraint for computing cutsets.
Finally, the blocks are put back into their places and combined together in light of a global constraint for which a minimum MSE solution is reached.
Markov random field (MRF) has been widely used to solve co-segmentation, which introduces a global constraint to make the foreground similar to each other.
The first is a global constraint that limits the molecule size to that of the largest molecule encountered in the analyzed database.
In this paper, a global displacement control is realized through topology optimization with a global constraint that sets a displacement limit on the whole structure or certain sub-domains.
This cutset constraint is a global constraint over boolean variables associated to the vertices of a given graph and states that the subgraph restricted to the vertices having their boolean variable set to true is acyclic.
Besides, UCR-DTW uses the Sakoe Chiba band as a global constraint to support LB_(_{Keogh}), reversed LB_(_{Keogh}), and the classical DTW calculation for reduction of the running time.
b The Sakoe Chiba band with a width r is used as a global constraint to limit the scope of P. The techniques to speedup DTW often fall into three categories: Constraints The technique aims to limit the number of cells evaluated in the accumulated cost matrix.
The process is performed locally for each block in the image which are then combined together by simple averaging to construct W. Equation (6) applies a global constraint and outputs the image that is the best compromise between the noisy image, Y, and W in SSIM-sense.
For example, the positing of a global constraint (in either the disparity or the bistochastic filter) ignores local heterogeneity.
