### Table 1: Data points corresponding to Figure 5.

1994

Cited by 172

### Table 1: Data points corresponding to Figure 5.

1994

Cited by 172

### Table 2. Intersection points and their corresponding parameters (cm)

2003

"... In PAGE 16: ..., 1995]. Several works related to human-robot collaboration are summarized in Table2 with detailed description in Appendix II. ... In PAGE 17: ...Table2 . Summary of human-robot collaboration related works Application References Jijo-2 - Office robot Asoh et al.... ..."

Cited by 2

### Table 1: Number of iterations required to nd an optimal solution using the previous solution as a starting point and using the vector (0; : : : ; 0) as a starting point.

2001

"... In PAGE 24: ... When a new user enters the system, running the MFVA algorithm using as a starting point the optimal solution for the problem prior to the new user apos;s arrival typically results in substantial computational savings. Table1 shows results from a power control problem involving a system of ten by ten cells and approximately nine hundred mobile users. The number of iterations required to nd the optimal solution for an initial problem is given, along with the number of iterations required to nd the optimal solution when additional users enter the system.... ..."

Cited by 10

### Table 2: Structural Break Points and corresponding Historical Events for Germany

"... In PAGE 17: ...The econometric analysis identifies six break points for Germany. Table2 gives a survey of the resulting break points and the corresponding percentage changes in the conditional mean price index. German government bonds experienced a statistically significant and large upward surge, beginning in the summer and autumn of 1936.... ..."

### Table 2. The number of matched points and the corresponding residual errors on different layers

"... In PAGE 3: ... Each pyramid layer has four times reduced resolution in relation to its previous layer. Table2 shows the independent results for each pyramid layer obtained by the fuzzy logic process. A comparison between the number of the detected features in each layer and the number of matched points (see Table 2) clearly indicates how the fuzzy reasoning process has eliminated some of the points in each layer.... In PAGE 3: ... Table 2 shows the independent results for each pyramid layer obtained by the fuzzy logic process. A comparison between the number of the detected features in each layer and the number of matched points (see Table2 ) clearly indicates how the fuzzy reasoning process has eliminated some of the points in each layer. These are the points for which the geometric and the radiometric conditions have not been satisfied according to the fuzzy parameters settings.... ..."