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CMA-ES optimizes level set functions as design variables to minimize the fitness value that is regularized to avoid the ill-posedness of topology optimization using a perimeter constraint.
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In this work, we show how centrality computations can be regularized to reach higher performance.
From the general theory we know that such a system can be regularized to a Fredholm one.
Furthermore, a rectangular region including one human is clipped from each frame, and they are regularized to the same size.
Consequently, such models must be regularized to obtain a sequence of well-posed equations which, at least in principle, can be approximately solved by a computer.
These pixels are then individually classified and finally the labels in the whole volume are regularized to produce a smooth interface.
The discrete model is formulated as a non-symmetric orthotropic local damage constitutive model, in which the softening modulus is regularized according to the material fracture energy and the element size.
Subsequently, we pose the problem for design of experiments as a bilevel program, which is regularized in order to be well-posed.
The above construct of the observed q-distribution is regularized using pseudocounts proportional to p0 to account for nonobserved residues in the finite sample (L awrence et al. 1993; H enikoff and H enikoff 1996).
From Opus 3 onward the four-movement form is regularized, and in Opus 9 thematic materials begin to reveal details that point to the future.
Sheet motion is regularized by adding a length scale cutoff to the Biot Savart kernel.
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