### TABLE 1 Quantitative Analysis of Results.

2006

### Table 4 Quantitative Analysis for Figure 35 results

"... In PAGE 34: ... 7.2 Execution Time Evaluation Table4 shows some quantitative data for the example of figure Figure 35. It takes 1314.... ..."

### Table 1: Quantitative analysis of reconstruction errors

2001

"... In PAGE 5: ... The second set was generated by applying weights, as explained in the previous section, with rescaling factors 0 =1:0 and 1 =10:0 that are chosen empirically through the analysis of distribution of wavelets coefficients. Statistics on our objective fidelity criteria are summarized in Table1 (a) for the two cases. The root mean squared error (RMSE) is the square root of the average of the squared er- ror measure, and it is one of the most often used average measure.... In PAGE 6: ... Figure 8(i) shows the 270th coronal slice col- ored according to the maximally combined weights. 23% of voxels have positive weights, and the reconstruction errors over these vox- els are compared in Table1 (b). From the through examination of visualized images, we find that the patterns of performance in visualization for both the Visi- ble Man data and the Bighead data are very similar to each other.... ..."

Cited by 9

### Table 1. Quantitative analysis of reconstruc- tion errors

2001

"... In PAGE 7: ... The second set was generated by applying weights, as explained in the previous section, with rescaling factors AD BC BP BDBMBC and AD BD BP BDBCBMBC that are chosen empirically through the analysis of distribution of wavelets coefficients. Statistics on our objective fidelity cri- teria are summarized in Table1 (a) for the two cases. The root mean squared error (RMSE) is the square root of the average of the squared error measure, and it is one of the most often used average measure.... In PAGE 8: ... Figure 8(i) shows the 270th coronal slice colored according to the maximally combined weights. 23% of vox- els have positive weights, and the reconstruction errors over these voxels are compared in Table1 (b). From the through examination of visualized images, we find that the patterns of performance in visualization for both the Visible Man data and the Bighead data are very similar to each other.... ..."

Cited by 9

### Table 1: Quantitative analysis of reconstruction errors

2001

"... In PAGE 5: ... The second set was generated by applying weights, as explained in the previous section, with rescaling factors 0 = 1:0 and 1 = 10:0 that are chosen empirically through the analysis of distribution of wavelets coefficients. Statistics on our objective fidelity criteria are summarized in Table1 (a) for the two cases. The root mean squared error (RMSE) is the square root of the average of the squared er- ror measure, and it is one of the most often used average measure.... In PAGE 6: ... Figure 8(i) shows the 270th coronal slice col- ored according to the maximally combined weights. 23% of voxels have positive weights, and the reconstruction errors over these vox- els are compared in Table1 (b). From the through examination of visualized images, we find that the patterns of performance in visualization for both the Visi- ble Man data and the Bighead data are very similar to each other.... ..."

Cited by 9

### Table 1: Quantitative analysis of reconstruction errors

"... In PAGE 5: ... The second set was generated by applying weights, as explained in the previous section, with rescaling factors 0 = 1:0 and 1 = 10:0 that are chosen empirically through the analysis of distribution of wavelets coefficients. Statistics on our objective fidelity criteria are summarized in Table1 (a) for the two cases. The root mean squared error (RMSE) is the square root of the average of the squared er- ror measure, and it is one of the most often used average measure.... In PAGE 6: ... Figure 8(i) shows the 270th coronal slice col- ored according to the maximally combined weights. 23% of voxels have positive weights, and the reconstruction errors over these vox- els are compared in Table1 (b). From the through examination of visualized images, we find that the patterns of performance in visualization for both the Visi- ble Man data and the Bighead data are very similar to each other.... ..."

### TABLE II QUANTITATIVE ANALYSIS OF MOBILITY SCHEMES

2005

Cited by 2

### Table 2. Quantitative analysis of probe nuclear localization

2004

"... In PAGE 10: ... Using the transformed coordinates, we determined the average xyz position of each label. The polarized (Rabl) orientation of the chromosomes was reflected in the increas- ing z coordinates of labels ( Table2 ). In contrast, the average xy components were all close to zero, consistent with an unbiased orientation.... In PAGE 10: ... Second, following the meth- odology of Marshall et al. (1996), the distribution of each label was statistically categorized as inner, outer, or random within the nuclear volume ( Table2 ). We found one probe (label 2 near the telomeric end of the chromosome) nonran- domly localized to the outer half of the nucleus in both DS1 and DS5.... In PAGE 11: ... Table2 gives the average Rabl position and the average distance to the nuclear envelope for each of the 13 labels in DS1 and DS5. Additionally, for each labeled point, the statistically defined nuclear envelope localization is shown.... ..."

### Table 4. Quantitative analysis of reasons for errors and rejections

"... In PAGE 11: ... In order to focus on the discussion of item extraction methods and their respective performance, the recogni- tion problems are not analyzed in this paper. The er- rors given by Recognizer 2 in the non-rejection case and 1% error case are analyzed in detail, and the results are shown in Table4 . Compared with the item extraction method previously proposed in [12], problems caused by the extractor have been alleviated.... ..."