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Table 1 Mean average precision computed for our method using several query videos shown in Figs. 11, 12, 16, 17, and 18. The ground truth is annotated by flve users for our experiments.
2007
"... In PAGE 23: ... 14. Another interesting observation can be made from Table1 regarding the vari- ation in the interpretation of the video similarity by difierent users. For these... ..."
Table C.1. Age at onset of first depressive symptom in children with diagnoses by age 11 or at age 12-16
Table 9. RC5-12-16 Measurements
1998
"... In PAGE 21: ....2.2.7 Overview of Measurement for Every C-module This section presents numbers for processing times (in ms) for all algorithms implemented in separate C-modules. Table 5 depicts MD5, Table 6 includes MD4, Table 7 shows DES, Table 8 presents IDEA, and Table9 covers RC5 with 12 rounds and 128 bit keys. A graphical Table 5.... ..."
Cited by 1
Table 9. RC5-12-16 Measurements
1998
"... In PAGE 21: ....2.2.7 Overview of Measurement for Every C-module This section presents numbers for processing times (in ms) for all algorithms implemented in separate C-modules. Table 5 depicts MD5, Table 6 includes MD4, Table 7 shows DES, Table 8 presents IDEA, and Table9 covers RC5 with 12 rounds and 128 bit keys. A graphical Table 5.... ..."
Cited by 1
Table 4.1: Performance on Problem 12, with 16 processors.
in An Efficient Parallel Three-Level Preconditioner for Linear Elliptic Partial Differential Equations
lable via anonymous ftp cite ftp-bionik.fb10.tu-berlin.de directory /pub/papers/BIONIK/PAPERS le tr-03-95.ps.Z ) y(Born) ga95aSantibanez-Koref. [343] Hans-Michael Voigt and Thomas Anheyer. Modal mutations in evolutionary algorithms. In Proceedings of the First IEEE Conference on Evolutionary Computation [600], pages 88{92. ga94bVoigt. [344] Hans-Michael Voigt. Soft genetic operators in evolutionary algorithms. In Alander [628], pages 1{22. ( available via anonymous ftp cite ftp.uwasa.fi directory cs/1NWGA le Voigt.ps.Z ) ga95aVoigt. [345] Hans-Michael Voigt, Heinz M uhlenbein, and D. Cvetkovic. Fuzzy recombination for the continuous breeder genetic algorithm. In Eshelman [603], page ? y(prog) ga95bVoigt.
Table VI presents the execution times for the different parallel versions running on a variety of processors; Figure 18 presents the corresponding speedup curves. The Original, Bounded and Aggressive versions perform very well, attaining a speedup of more than 12 on 16 processors. The Greedy version fails to scale at all: the Greedy false exclusion policy serializes the entire computation.
1997
Cited by 30
Table VI presents the execution times for the different parallel versions running on a variety of processors; Figure 18 presents the corresponding speedup curves. The Original, Bounded and Aggressive versions perform very well, attaining a speedup of more than 12 on 16 processors. The Greedy version fails to scale at all: the Greedy false exclusion policy serializes the entire computation.
1997
Cited by 30
Table 1: The comparision in the number of region 1 4 8 12 16 Sobel 4059 4057 4018 3922 4009
"... In PAGE 4: ... Because we do not obtain the source code for other techniques, we follow faithfully the steps proposed in that literature as much as possible. Table1 shows the result of comparision. Table 1: The comparision in the number of region 1 4 8 12 16 Sobel 4059 4057 4018 3922 4009... ..."
Table 2: Percent gain in the number of adders for different filter sizes L 8 12 16 24
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