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In Figure 12, the iterative optimization stopped at a local minimum with 12 iterations because the initial value is far away from the desired value.
Therefore, fewer times of iterations were required to approach the global minimum for the iterative optimization.
Iterative Optimization.
Table 2 Iterative optimization algorithm.
An iterative optimization algorithm is presented accordingly.
This makes iterative optimization algorithms behave like stochastic maps.
The K-means clustering algorithm is an iterative optimization algorithm.
Algorithm 1 (iterative optimization of the nonconvex problem (13)).
Finally, update the center of the superpixels and iterative optimization.
The gradient based iterative optimization algorithm is used.
Both systems are optimized by an iterative optimization procedure.
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