### Table 2 Recent results from the literature on presegmented character recognition

1999

"... In PAGE 3: ... Other neural network classi quot;ers [16] have combined both stroke based features, and OCR- type features, in which a character is converted into a pixel array and features are taken as the pixel values in di!erent regions of the image. Table2 presents some recent results from the literature for the isolated character recognition problem, where segmentation is assumed to have been correctly done. It should be stressed that these di!erent studies have used di!erent datasets, and this makes a comparison of these results di$cult.... ..."

### Table 7: Comparisons with the Most Recent Integer Results

1996

"... In PAGE 31: ...Table 7: Comparisons with the Most Recent Integer Results As shown in Table7 , we nd that our algorithm produces far better solu- tions than those by Harche and Raghavan (1991) and Noon, Mittenthal and Pillai (1994). In contrast to Gendreau, Hertz and Laporte (1994), we produce four better solutions, tie in two case, and fail to improve on the remaining one problem.... ..."

Cited by 13

### Table 3 Comparison with recent previous results.

1996

"... In PAGE 17: ... Comparing with the results in [CoDi94a], we see dmig performs fairly well even though its decomposition goal is to minimize the level in the decomposed network rather than the final LUT network. Among four data sets in Table3 , TechMap-D obtains the smallest overall depth (partly due to resynthesis) at an expense of a large area overhead. On average, speed_up + TechMap-D generates 35% more LUTs than DOGMA + CM.... ..."

Cited by 23

### Table 3 Comparison with recent previous results.

1996

"... In PAGE 17: ... Comparing with the results in [CoDi94a], we see dmig performs fairly well even though its decomposition goal is to minimize the level in the decomposed network rather than the final LUT network. Among four data sets in Table3 , TechMap-D obtains the smallest overall depth (partly due to resynthesis) at an expense of a large area overhead. On average, speed_up + TechMap-D generates 35% more LUTs than DOGMA + CM.... ..."

Cited by 23

### Table 2. Comparing Our Results with Recent Results in Quantile Computation Authors Year Computation Model Precision Space Requirement

2004

"... In PAGE 12: ... As our performancestudy indicated, the algorithms proposed for both models provide much more accurate quantile estimates than the guaranteed precision while requiring much smaller space than the worst case bounds. In Table2 , we compare our results with the recent results in quantile computation under various models. An immediate future work is to investigate the prob- lem of maintaining other statistics under our new n-of-N model.... ..."

Cited by 14

### Table 2. Comparing Our Results with Recent Results in Quantile Computation Authors Year Computation Model Precision Space Requirement

"... In PAGE 12: ... As our performancestudy indicated, the algorithms proposed for both models provide much more accurate quantile estimates than the guaranteed precision while requiring much smaller space than the worst case bounds. In Table2 , we compare our results with the recent results in quantile computation under various models. An immediate future work is to investigate the prob- lem of maintaining other statistics under our new n-of-N model.... ..."

### Table 6: Convergence rate comparison with recent reported result.

1994

"... In PAGE 19: ... Table 5 shows that by using updating methods B2 and B3, the performance of the channel assignment problem can be improved. In Table6 , the results of the initialization method I1 with the updating method B3 are compared... In PAGE 20: ... The iteration numbers and convergence rates will be totally di erent depending on which and how the frequencies in certain cells are xed. Table6 also shows that the algorithm with the proposed initialization and updating methods have similar or better results than those found in [11] although the frequencies are not xed in any cells in this algorithm. Fig.... ..."

Cited by 7