### Table 1. Correlation factors between target-based density along the trajectory and curvature for different compression rates

in Adaptive Sampling of Motion Trajectories for Discrete Task-Based Analysis and Synthesis of Gesture

2005

"... In PAGE 8: ... This correlation can be illustrated in Figure 4 with the superposition of the density function representing the spatial concentration of the targets along the motion frames, and the curvature function. Table1 gives correlation factors between the two functions for three compression rates using a linear regression ... ..."

Cited by 4

### TABLE I Comparison of Lens Distortion Coefficients of the Blind Removal Technique and The Target-Based Algorithm

### TABLE I Comparison of Lens Distortion Coefficients of the Blind Removal Technique and The Target-Based Algorithm

2004

### TABLE III PERCENTAGE OF CORRECT ASSIGNED FOCUS TARGETS BASED ON COMPUTING 8040Focus106head pan41

2002

Cited by 23

### Table 2: Percentage of correct assigned focus targets based on computing P(Focus|head pan).

2001

"... In PAGE 6: ...9% of the frames. Table2 show the average results on the three... ..."

Cited by 21

### Table 2: Percentage of correct assigned focus targets based on computing P(Focus|head pan).

2001

"... In PAGE 6: ...9% of the frames. Table2 show the average results on the three... ..."

Cited by 21

### Table 4 Single-primitive targets: base amplitude, location, pose, and radius statistics.

"... In PAGE 10: ... The fraction of runs in which this occurs is listed in the fraction spurious column. Table4 ~described later! presents the results of the continuous parameter estimation, conditional on correct type identification and nonspurious parameters. For each of the eight experiments ~four primitives, two AVSDs!, Monte Carlo runs were continued until we had obtained 500 trials in which the primitive was detected and estimated to be the correct type.... In PAGE 11: ... Table4 presents the error statistics for the continuous parameters. Base amplitude figures are quoted in dBsm, location and radius in inches, and pose in degrees.... In PAGE 11: ... The azimuth/elevation root-mean-squared error ~RMSE! statistics correspond to angular separation in degrees be- tween two points on a sphere. The amplitude bias exhibited in Table4 is largely attrib- utable to two factors. First is the frequency windowing in- herent in the SAR imaging process.... In PAGE 11: ...ominal bias is roughly 20.5 dBsm. ~It is possible to cor- rect for this factor simply by adding 0.5 to the amplitude estimates produced by the algorithm, although we have not done this in the presentation of the results in Table4 .! The second factor influencing amplitude bias is the slight mis- 20 deg cylinder 0.... In PAGE 11: ...s biased by these lower-bounce reflections. In Sec. 5.2 we discuss an approach to removing this bias, if desired. Ad- ditionally, although it is not illustrated in Table4 , the radius errors are correlated with the location errors due to layover effects. Table 3 Single-primitive targets: model order and type confusion statistics.... In PAGE 12: ...000 0.004 The pose results of Table4 demonstrate that primitive pose can in general be accurately estimated to a finer granu- larity than provided by the AVSD. The dihedral pose errors, which are larger than those observed for the other primitive types, are attributable to the near-invariance of the dihedral response to certain changes in the Euler-angle pose.... In PAGE 12: ... The results of this postprocessing on the trials of the previous section are presented in Table 5. The trihedral lo- cation estimation refinement achieves a greater fractional reduction in bias than the dihedral location estimate refine- ment due to the greater accuracy of the trihedral pose esti- mates ~see Table4 !. For similar reasons, the refinement is more successful for the 10-deg AVSD than for the 20-deg AVSD.... ..."

### Table 7 The correlation between the agreement of regular and irregular targets with their base inflection and the number of their neighbors as a function of neighbor type and the similarity of the target to its base

1999

"... In PAGE 17: ... For this end, we computed the correlations between the probability of agreement with the base inflection and the number of regular and irregular tokens in its mishkal7. Our find- ings are provided in Table7 . The selection of irregular inflection for irregularly sounding nouns correlated positively with the number of irregular friends.... ..."