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Table 2: Structural distortion ratio.

in A Practical Measure of Dynamic Response of Haptic Devices
by unknown authors 1998

Table 3 Execution times for matching under structure distortions

in DOI 10.1007/s10115-005-0230-9 REGULAR PAPER
by K. Selçuk C, An Jong Wook Kim, Huan Liu, Reshma Suvarna
"... In PAGE 21: ... Thus, the number of nodes is a more important factor in total execution time than the amount of distortion. Table3 on the other hand presents the time needed for matching when the trees are also structurally distorted. Again, the execution time needed is similar to (only very slightly higher than) the case with only rename distortions.... ..."

Table 3. Execution times for matching under structure distortions Rate of distortions 25 nodes 100 nodes 200 nodes

in Discovering Mappings in Hierarchical Data from Multiple Sources using the Inherent Structure ♣
by K. Selçuk, Candan Jong, Wook Kim, Huan Liu, Reshma Suvarna
"... In PAGE 17: ... Thus, the number of nodes is a more important factor in total execution time than the amount of distortion. Table3 on the other hand presents the time needed for matching when the trees are also structurally distorted. Again, the execution time needed is similar to (only very slightly higher than) the case with only rename distortions.... ..."

Table 1. Spearman correlations (CS) of subjective results with several metrics: Our structural distortion measure (MSDM), Hausdorff maximum, mean and root mean square (RMS) distances.

in Perceptually driven 3D distance metrics with application to watermarking
by Guillaume Lavoué , Elisa Drelie Gelasca , Florent Dupont , Atilla Baskurt , Touradj Ebrahimi
"... In PAGE 9: ...ean distance does not reflect at all this subjective opinion (Hausdorff mean=0.16 vs 0.25). Table1 presents the performances of our measure and Hausdorff metrics in term of Spearman correlation CS with subjective results. Overall the proposed MSDM outperforms Hausdorff distances, particularly for Venus and Dyno objects.... ..."

Table 2. Distortions and structural phase transitions observed in dense monoxides at high pressure.

in Comparative Crystal Chemistry Of Dense Oxide Minerals
by Joseph Smyth Steven, Steven D. Jacobsen, Bayerisches Geoinstitut, Universität Bayreuth, Robert M. Hazen 2000
"... In PAGE 4: ... Bulk moduli and thermal expansion parameters for several natural and synthetic monoxides (the latter including BaO, SrO, and rare-earth monoxides) and their constituent polyhedra are listed in Table 1. Observed transition pressures (and temperatures) for various monoxides are given in Table2 , and radius-ratios, molar volumes, densities and compression parameters are recorded in Tables 3. Periclase: Periclase (MgO) has been the subject of extensive studies at high-pressure and high-temperature.... ..."
Cited by 1

Table 4: Summary of the distortion for the graph of gure 4 (22 border nodes) when the t-tree structure is used for aggregation

in unknown title
by unknown authors 1998
Cited by 30

Table 4: Summary of the distortion for the graph of gure 4 (22 border nodes) when the t-tree structure is used for aggregation

in Topology Aggregation for Directed Graph
by Baruch Awerbuch, Yuval Shavitt 1998
Cited by 30

Table 4: Summary of the distortion for the graph of gure 4 (22 border nodes) when the t-tree structure is used for aggregation

in unknown title
by unknown authors 1998
Cited by 30

Table 3. Summary of the distortion for the graph with 22 border nodes used to gener- ate table 1 when the t-tree structure is used for aggregation

in unknown title
by unknown authors 1998
"... In PAGE 5: ... Trees were iteratively created until the cumulative number of links (ex- ceptions) exceeded 2b. Table3 summarizes the link distortions for the same random weight assignments that were used in table 1. The average distortion is shown to be about 1.... ..."
Cited by 30

Table 1 Comparison of the methods to compute affine structures. g, genus of the domain manifold M; b, number of boundaries of M. Method # of singularities Location of singularities Area distortion Angle distortion Transition function

in Abstract Polycube Splines
by Hongyu Wang A, Ying He B, Xin Li A, Xianfeng Gu A, Hong Qin A
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