### Table 2. The coe cients g3j of the 21 congruence classes of the local pixel con- gurations in 3d-images. The columns of g0j correspond to (F26; F6), (F14:1; F14:1), (F14:2; F14:2), and (F6; F26), in this order. g1j = g2j = 0 for the congruence classes 11-21. Note that the weights here are to be used with (13). That is, the black dots have to be foreground while there is no condition on the others

2007

"... In PAGE 10: ...3 k(X) w.r.t. the octahedral group. For particular cases, the coe cients g3 k;j can easily be computed and be presented in tables. Table2 contains the g3j for the pairs (F; Fc) of comple- mentary adjacency systems from Section 3.1.... In PAGE 12: ...Table2 . The surface area weights for complementary representatives c j are the same as for j.... ..."

### Table 3. Mass Properties of the Simulated F-14

2003

### Table A-3. F-14 Simulation Package (Directory name: F-14) F-14 Directory ab3.m dcmsp.m F14_deq.m atm.m dcxds.m F14_engine.m AVDS_Matlab_F14.m dcxsb.m F14_engine_setup.m cldsp.m dcxsp.m F14_massprop.m

2003

### Table 2 shows these values for 1 #14 f #14 20.

1999

"... In PAGE 8: ...810618 20 .998823 Table2 : Probability of detecting f #3E 0 in Example 1 Since P #2851#29+P #2852#29+P #2853#29 #19 0:019, while P #2851#29+P #2852#29+P #2853#29+P #2854#29 #19 0:071 , the region of rejection for #0B =0:05 is defined as x #14 53; if a read operation has a justifying set of size 53 or less, the client rejects the null hypothesis and concludes that there are faults in the system. This test has a significance level of 0.... In PAGE 11: ...verlap, with a probability of about 0.21). The probability of alarm on a single read operation for various values of f #3C t, is shown in Table 4. A comparison of this result with Example 1 ( Table2 ) illustrates the dramatically higher precision of the write-marker method over the justifying set method; see Figure 1. This precision has additional advantages when t a is set to a value greater than 0.... ..."

Cited by 34

### Table 3: The results of ES, IFEP and EANA on f14{f25. \Eval. quot; is the number of evaluations. \G. hit quot; is the global hits.

2000

"... In PAGE 9: ... 4.2 Low Dimensional Multimodal Functions(f14{f25) The nal results of ES, IFEP, and EANA on func- tions f14{f25 are summarized in Table3 . For func- tions f15{f24, the EANA has better performances than ES and IFEP from the global hit and/or the function evaluations.... In PAGE 9: ...3 Discussions According to Table 2, the EANA algorithm has better reliability to nd global optima than both ES and IFEP on high dimensional problems with many local minima. From Table3 , EANA can maintain good search diversity to nd the global minima, but with less search e ort on most prob- lems. However, EANA still needs improvement on global hits on some low dimensional problems.... ..."

Cited by 13

### Table 2. Configuration of water exchanges on F14-R watercourse Endogenous variable: probability that the household pair traded at least once

"... In PAGE 13: ... All this analysis shows is that there exists at least one configuration of clusters that outperforms the pure exchange model. The model of bilateral exchange with clusters explains water exchanges better than the pure bilateral exchange model in the Fordwah 14-R watercourse as well ( Table2 ).10 These results suggest that clusters play an important role in sustaining mutual insurance and that the community is not the appropriate group for examining the performance of mutual insurance.... ..."

### Table 9. Mean and standard deviation of delays (in minutes), selected by departure airport. Mean (f13) Standard Deviation (f14)

"... In PAGE 8: ... The mean of the distribution is determined as: = m i i m inj i j n f i 1 11 , 13 (25) and the standard deviation, assuming a normal distribution, is determined as: ( ) 1 1 11 2 13 , 14 = m i i m inj i j n f f i (26) The mean and standard deviation of the departure, arrival and enroute delays are given in Tables 9 and 10. Table9 shows the data for the departures from the ten airports while Table 10 shows the data for the arrivals to the ten airports. The departure delay means in both tables show a positive bias, suggesting congestion at the airports results in more late departures than early ones.... ..."

### Table F.14. The FAR (with artiflcial flngerprint), the rejection rate, and the FAR (other user), per subject, for artiflcial flngerprints during round one. The mean values for all subjects are also shown.

2004

### Table 1: Average percentages over all pairs. Each value of this table corresponds to the average of one of the curves displayed Fig. 4b (420 pairs, 14 f0). Conditions are (rel. level, duration, ITD). The four indexes are computed for the 2 segregation models (PR, SC) and the 3 switch methods (S, P, R) are applied. Additional columns show rates of the 2D-max (default recognition method) used in isolation and the identification rates of attributes of the second vowel.

"... In PAGE 5: ... In this case, and in other un- resolved situations, the recognition stage works with 2D- max applied on the unresolved mixture. 5 Results and Conclusion Simulation results presented Table1 and Fig. 4 are ob- tained with the same vowel set described in 2.... ..."

### Table 4: Comparison between CEP and FEP on f14{f23. The results are averaged over 50 runs, where \Mean Best quot; indicates the mean best function values found in the last generation, and \Std Dev quot; stands for the standard deviation.

1999

"... In PAGE 10: ...n our experiments, i.e., f14{f23, where the number of local minima for each function and the dimension of the function are small. Table4 summarizes the results averaged over 50 runs. Table 4: Comparison between CEP and FEP on f14{f23.... ..."

Cited by 95