"... In PAGE 3: ... Scanning the Graffiti chart in Figure 1b, we find 18 matches with uppercase letters. These are identified by quot;1 quot; in the third column in Table1 . For the eight letters that do not match, a quot;0 quot; appears.... In PAGE 3: ...ommon than others (e.g., Z), we weight the results using standard probabilities for letters in common English. The probabilities from Mayzner and Tresselt [10] appear in the second column in Table1 . By summing the 18 weighted matches, we compute an inherent uppercase accuracy of 68.... In PAGE 3: ...4%, slightly lower than the unweighted accuracy. The same test yields 11 matches with lowercase letters, as shown in column 4, Table1 . These yield an unweighted accuracy of 42.... In PAGE 4: ...hile rarely visiting others (e.g., Z). To emphasize this point, if we consider the standard letter probabilities in Table1 , then it would require about 8,000 character entries before achieving five instances of the letter Z. In part 2, subjects were given the 325Point for five minutes.... ..."

"... In PAGE 5: ... The cost of labelling a pixel as oc- cluded was fixed at a16 a35a4 in all cases. Table3 shows the per- centage of bad matching pixels obtained as a result of ap- plying our algorithm to the four data sets available. For comparison purpose, the results obtained from other dense stereo algorithms have also been included.... ..."

"... In PAGE 9: ...List of Tables Table1 : Ambiguity Indicators .... In PAGE 18: ... Indicators are syntactic or structural aspects of the requirement specification documents that provide information on defects related to a particular property of the requirements themselves. Table1 , Table 2, and Table 3 describe the indicators related to each quality property and include examples of the keywords to be used for detecting potential defects in the NL requirements. ... In PAGE 20: ...applied (with the support of an automatic tool) to compare and verify the quality of requirements documents. The sentences that are recognized as defective according to the quality model described in Table1 , Table 2, and Table 3 are not defective sentences according to the rules of the English language but are incorrect in terms of our expressiveness characteristics. The quality model was derived to use as a starting point for the creation of an automatic tool for the analysis of NL requirements.... ..."

"... In PAGE 2: ...Faults inherent in Flash memory as reported in Flash memory data sheets are listed in Table1 [9]. As noted in this table, each major Flash memory operation is associated with a failure.... ..."

"... In PAGE 4: ...chose a set of 20 commands that could be used to control an in-car stereo system (see Table2 ). The reason station three is not on the list is because the subset of articulatory features we are currently using cannot distinguish it from next station .... ..."

"... In PAGE 4: ... Any points for which the least squares matching solution di- verges, or does not converge fast enough (a threshold of 20 iterations is currently used), are also invalidated, and removed from the set of correspondences. Results from the stereo correspondence, using the above matching strategy, are shown in Table2 . A graphical depic- tion of the nal point correspondences for the image pair is depicted in Figure 4.... ..."

"... In PAGE 31: ... Clarity of the pore, image quality, skin condition, and pore density were also recorded. The results can be seen in Table6 of Appendix A.7.... ..."

"... In PAGE 7: ... Table3 shows that the first three methods provide a more powerful scale. Methods based on AHP also allow the possibility of checking the consistency of the priorities.... ..."

"... In PAGE 7: ... Initially we as- sume that no backtracking was permitted on assignments of items to other winning bids given a bid withdrawal elsewhere in the so- lution. Table2 shows the percentage of optimal solutions that are robust for minimum revenue constraints for repair solutions of 90% and 85% of optimal revenue. Relaxing the revenue constraint on re- pair solutions to 85% of the optimum revenue greatly increases the number of optimal solutions that are robust.... ..."

"... In PAGE 3: ... In tests similar to those used with p nder (see Section 2.2), we nd RMS errors on the order of a few centimeters or degrees, as shown in Table2 . The translation errors are larger than the corre- sponding translation errors in the 2-D case because estima- tion along the Z axis is a mathematically ill-conditioned... ..."