Discrepancy Analysis of State Sequences

For NOLH, that permutation of indices is directly used as vector e, introduced in Sec. This is the only parame- ter in Cioppa and Lucas’ method that can be modified for generating

Since the approach described in the previous subsection is slightly technical (we lose the independence of the points due to the symmetrization and then cope with this by establishing

But with a nonparametric bootstrap like the resampling bootstrap studied in section 4, it is not obvious how to achieve approximate independence of the statistic and the bootstrap

Figure 1: Left: our staged per-tile optimized scrambling, applied to a Sobol sequence of sampling points, produces a power spectrum close to Blue Noise.. Right: Rendering of

Abstract : In this paper, we propose new evaluation measures for scene segmentation results, which are based on computing the difference between a region extracted from a

In this paper, we propose new evaluation measures /or scene segmentation results, which are based on computing the difference between a region extracted from

Fig 3. Cluster of dendrograms built with different methodologies for the second ensemble of organisms. Ward’s minimum variance method was used for the agglomerative hierarchical

To improve the solutions of our HFS problem, we propose a local search method, called CDDS, which is a hybridization of two existing discrepancy-based methods (DDS and