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Table 1: Rod Example: Comparison of actual and esti- mated joint Location
1999
"... In PAGE 5: ... Our distance metric identifies correctly non- deformed triangles as centroids of the motion for each link. This results in perfect estimation of the joint loca- tion listed in Table1 and perfect identification of the ro- tational angles of each joint in the three poses. For com- parison the least squares examples produces significant error due to the blended vertex locations at the seams of the links.... ..."
Cited by 1
Table 2: The distance from the center of mass (COM) of each link to the proximal and distal joints in x, y, and z. The positive distance along the y axis refers to a location on the left side of the body; a negative distance refers to the right side. The z axis is vertical and the x axis is positive in the direction that the model is facing. A B C D
Table 11 shows an XML instance of the car_location data set. lt;?xml version= quot;1.0 quot; encoding= quot;UTF-8 quot;? gt; lt;car:car_location xmlns:car= quot;http://www.hut.fi/~mkorkeaa/schemata/2001/05/08/car quot; xmlns:slo= quot;http://www-nrc.nokia.com/ietf-spatial/2001/05/08/location quot; xmlns:xsi= quot;http://www.w3.org/2001/XMLSchema-instance quot; xsi:schemaLocation= quot;http://www.hut.fi/~mkorkeaa/schemata/2001/05/08/ca r http://www.hut.fi/~mkorkeaa/schemata/2001/05/08/car.xsd quot; gt; lt;car_size gt;5 lt;/car_size gt; lt;pos_device gt;gps4everyone lt;/pos_device gt; lt;slo:SLO gt;
Table 1: Complexity Results for Compact Location Problems Note: The 1D version of (Min-Sum) can be solved e ciently because every optimal solution consists of p contiguous points.
1997
"... In PAGE 10: ... Figure 1: Generic Algorithm the constraint, unless P = NP). These results are summarized in Table1 of Section 10. 6 Unicriterion compact location problems In this section, we present our approximation algorithms for the unicriterion versions of com- pact location problems.... In PAGE 24: ... Tables 1 through 3 summarize our results. Table1 shows the hardness results for the various unicriterion problems. Table 2 gives the corresponding approximation results.... ..."
Cited by 9
Table 3: Number of locations identified which are region members and ambiguous (using full IE)
"... In PAGE 9: ...ap24.com and Multimap (http://www.multimap.com) to visualize locations. Table3 summarizes the locations found using the best method in Table 2 (full IE using additional grammar rules). Many of the locations found occur multiple times; therefore to obtain a more accurate view of the grounding we count multiple occurrences once (unique).... In PAGE 9: ... Many of the locations found occur multiple times; therefore to obtain a more accurate view of the grounding we count multiple occurrences once (unique). The second column in Table3 shows the number of unique locations extracted using the geo-parser. Many of these locations, however, cannot be grounded using the SPIRIT or OS resources.... In PAGE 9: ... The number of unique locations found is much smaller than the total number found (C+PC+FP) because many locations occur more than once (particularly in Wales and the Midlands). The third column in Table3 shows the number of unique locations grounded.... In PAGE 10: ... The fifth column shows the number of locations which are region members and have been grounded correctly (judged manually). The final column in Table3 shows the number of ambiguous locations and the proportion of these disambiguated correctly.... ..."
Table 2. Simulation results and field surveys at a few key locations
2005
"... In PAGE 8: ... The simulated maximum elevations in Figs. 2-4 and the runup values listed in Table2 com- pare favorably with observations available from a variety of sources (DETAILS). Therefore, we believe that our numerical simulation, although quite preliminary, has captured many of the tsunami features of the actual event.... ..."
Cited by 2
Table 1: Six hotels with their spatial locations, quality and price
"... In PAGE 1: ... EXAMPLE 1. Consider the six hotels listed in Table1 . If we com- pare the quality of these hotels based on the price and quality at- tributes as shown in Figure 1(b), then we can see that hotels A and F are the only two skyline points among the six hotels.... ..."
Table 1: Six hotels with their spatial locations, quality and price
"... In PAGE 1: ... EXAMPLE 1. Consider the six hotels listed in Table1 . If we com- pare the quality of these hotels based on the price and quality at- tributes as shown in Figure 1(b), then we can see that hotels A and F are the only two skyline points among the six hotels.... ..."
Table 1: Six hotels with their spatial locations, quality and price
"... In PAGE 1: ... EXAMPLE 1. Consider the six hotels listed in Table1 . If we com- pare the quality of these hotels based on the price and quality at- tributes as shown in Figure 1(b), then we can see that hotels A and F are the only two skyline points among the six hotels.... ..."
Table 1: Mobile code paradigms. This table shows the location of the components before and after the service execu-
1997
"... In PAGE 4: ... We will call them: remote eval- uation, code on demand, and mobile agent. We distin- guish the design paradigms according to the location of the di#0Berentcomponents before and after the execu- tion of the service, the computational componentthat is responsible to execute the code, and where the com- putation actually takes place #28see Table1 #29. The presentation of the paradigms is based on a real life scenario where two friends|Louise and Christine| interact and cooperate to makeachocolate cake.... ..."
Cited by 136
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