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Table 2. Error rates [%] different features for the WANG and IRMA databases. WANG

in Features for Image Retrieval - A Quantitative Comparison
by Thomas Deselaers, Daniel Keysers, Hermann Ney 2004
"... In PAGE 7: ... Furthermore, the error rate is one number that is easy to interpret and widely used in the context of image classification. Table2 shows error rates for different features for the WANG and IRMA databases. From this table it can be observed that these different tasks re- quire different features.... ..."
Cited by 19

Table 4. Results comparing with [Wang 05] Circuit

in Efficiently Utilizing ATE Vector Repeat for Compression by Scan Vector Decomposition
by unknown authors
"... In PAGE 6: ...In Table4 , a comparison is made with the scheme described in [Wang 05] that also utilizes ATE vector repeat. Here results are shown for the exact same test cube files for two of the industrial circuits that were used in [Wang 05] (the others were not publicly available).... In PAGE 6: ... For the proposed method, results are shown for two different numbers of ATE vector repeat instructions. Note that the number of repeat instructions used in [Wang 05] is not reported in the paper and thus is not shown in Table4 . The vector memory required is shown in the sixth column.... ..."

Table 3. Mushroom, Wang et al.

in Extraction of a Subset of Concepts from the Frequent Closed Itemset Lattice: A New Approach of Meaningful Clusters Discovery
by Nicolas Durand, Bruno Crémilleux, Bruno Cr Emilleux 2002
"... In PAGE 2: ... Table 1. Mushroom, D1CXD2CUD6=20% cluster #p #e 1 0 1728 2 1728 0 3 528 1120 4 1296 768 remainder 364 592 Table3 shows the results with the method of Wang et al. [7].... ..."

Table 7: The solver of the charsets package of D. Wang

in About the Polynomial System Solve Facility of Axiom
by Hans-gert Gräbe 1996
"... In PAGE 21: ... But also in this implementation the Ritt-Wu method has some problems detecting and removing embedded solutions. Table7 contains more detailed results of our sample computations. Mathematica: In late summer 1996, Wolfram Research Inc.... ..."
Cited by 1

Table X Jagannathan and Wang Model with Efficient GMM

in Portfolio Choice and Asset Prices; The Importance of Entrepreneurial Risk
by John Heaton, Deborah Lucas

Table 6: FAM Matrix for Wang, et. al.

in Fuzzy Sliding Mode Control: A Critical Review
by Brian ODell
"... In PAGE 19: ... The logic for establishing the rules in this method is similar to that used in [SL93], generalized to the idea that the further away the system is from the sliding surface, the larger the control signal should be (with appropriate sign to decrease s _ s. The FAM matrix is presented in Table6 and the membership functions illustrated in Figure 14 (Chen and Hsu [CH94] use a similar FAM matrix, but the output of their fuzzy map is u, not just ^ u.) The resulting decision surface plot is shown in Figure 15.... ..."

Table 12: Computation time for matrix WANG/WANG4 (n = 26068)

in ILUs And Factorized Approximate Inverses are strongly related. Part II: Applications to stabilization
by Matthias Bollhöfer, Yousef Saad 2000
"... In PAGE 17: ... The computer we took is a Linux PC with Pentium II{400 processor and 64 MB memory. See Table12 for detailed results. We can see that clearly the results with ILUT=ILUT P are superior with respect to computation time, but the di erences are less dramatic and the overhead for pivoting seems to be quite moderate.... ..."
Cited by 2

Table 12: Computation time for matrix WANG/WANG4 (n = 26068)

in ILUs and Factorized Approximate Inverses are Strongly Related. Part II: Applications to stabilization
by Matthias Bollhöfer, Yousef Saad 2000
"... In PAGE 17: ... The computer we took is a Linux PC with Pentium II{400 processor and 64 MB memory. See Table12 for detailed results. We can see that clearly the results with ILUT=ILUT P are superior with respect to computation time, but the di erences are less dramatic and the overhead for pivoting seems to be quite moderate.... ..."
Cited by 2

Table 2: Data Quality Dimensions [Wand and Wang, 1996, and Wang, Reddy and Kon, 1995]

in Supporting Web Content Quality: Formalizing Meta-Data Concepts For The Web-Domain
by Dawn G. Gregg 2000
"... In PAGE 8: ...7 Supporting web content quality requires meta - data be developed to support the six data quality dimensions listed in Table2 . For example, meta - data can be used to identify the content and quality of web pages [Resnick, 1997; Resinick amp; Miller 1996].... In PAGE 10: ... This protocol suite will be validated using an exploratory experimental design with a selected group of subjects. The meta - data concepts will then be expanded to incorporated the data quality dimensions presented in Table2 . A conceptual formal software engineering methodology will be used to define a data model tailored to the needs of the WWW environmen t [Vinze, Kulkarni and Gregg, 1999].... In PAGE 13: ...0 EXPECTED CONTRIBUTION This development effort represents a new approach to managing web content. The meta - data labels developed as a part of this research can help improve all six quality dimensions presented in Table2 . Content information labels help to improve the accessibility of web information by improving an end - user apos;s ability to locate specific content or resource s that are ... ..."
Cited by 1

Table 6.4. Results comparing with [Wang 05] Circuit [Wang 05] Proposed

in To my supervising professor, Nur A. Touba.
by Jinkyu Lee, Nur A. Touba, Tony Ambler, Adnan Aziz, David Z. Pan, Jinkyu Lee 2006
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