• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 22,432
Next 10 →

Table 2 List of frequencies and sample sizes with the corresponding data rate and needed performance for real time limits

in
by Shervin Shirmohammadi, Hani Jabbour, Jiying Zhao
"... In PAGE 8: ... Using this definition, we can say that our system is performing in real time when, for example, the system is able to process more than 32 KB per second when streaming 32 KHz 8-bit audio. Table2 shows the expected performance for a real-time system. Table 2 List of frequencies and sample sizes with the corresponding data rate and needed performance for real time limits ... ..."

Table 2 gives the limits on n03 in GeV for real g

in unknown title
by unknown authors
"... In PAGE 7: ... Unfortunately, the present and potential experimental bounds on n28S n00 n06 P n00 n29 couplings are exceptionally poor or non-existent from measurements of the n19, n1a and a 1 modes. Table2 : Limits on n03 apos;s from n1c ! n1an17; a 1 n17 for Real Coupling Constants fn1a n00 ;n1a + g mode fa n00 1 ;a + 1 g mode At M Z 10, or 4 GeV At M Z 10, or 4 GeV V + A, for n18 A 0:006 0:0012 0:010 0:0018 S + P , for n03 310GeV 1; 700 64 350 S n00 P , for n28n03n29 2 n2811GeV n29 2 n2825n29 2 n284n29 2 n287n29 2 ; n2810n29 2 f M + f E , for n03 210GeV 1; 200 280 1; 500 f M n00 f E , for n28n03n29 2 n289GeV n29 2 n2820n29 2 n2810n29 2 n2824n29 2 For the n1a and a 1 modes, the T + + T + 5 coupling is equivalent to the V n00 A coupling; and T + n00 T + 5 is equivalent to V + A. Table 3: Limits on n03 apos;s from n1c ! n19n17: From n18 n19 : From n00n28n1c ! n19n17n29 jg i =g L j 2 jg i =g L j 2 2Ren28g L n03 g i n29 V + A, for n18 n19 0:015; 0:004; 0:009 0:014 S + P; T + + T 5 + , forn03 127GeV S n00 P; T + n00 T 5 + ,forn28n03n29 2 n2810GeV n29 2 ; n2821GeV n29 2 ; n2813GeV n29 2 n28n3c 1GeV n29 2 S n00 + P n00 , forn03 n3c 1GeV S n00 n00 P n00 ,forn28n03n29 2 n28n3c 1GeV n29 2 ; n281:6GeV n29 2 ; n281GeV n29 2 n28n3c 1GeV n29... ..."

Table I: Critical value of H calculated in di erent ways: (a) limiting value for real radius, (b) limiting value for r lt; and (c) value corresponding to the DK phase transition in QCD2 [3]. For d gt; 3 the solution becomes unstable before the radius reaches the value .

in A Solvable Twisted One-Plaquette Model
by Bill'o Nordita

Table 2: Comparison the limiting case of the Phong model, of the new model and of real metal mirrors at grazing angles

in Reflectance Models with Fast Importance Sampling
by Laszlo Neumann , Attila Neumann, Laszlo Szirmay-Kalos 2001
Cited by 1

Table 4.2: Comparison the limiting case of the Phong model, of the new model and of real metal mirrors at grazing angles

in Constructions of Bidirectional Reflection Distribution Functions ausgeführt zum Zwecke der Erlangung des akademischen Grades
by Univ. -prof Dr, Werner Purgathofer

Table 2. Average absolute relative abbreviations (in %) from the real upper limits of majority voting error imposed by applying definitions (2) based only on mean classifier error. Average abbreviations are calculated separately for each dataset out of all combinations of 3 classifers.

in New Measure of Classifier Dependency in Multiple Classifier Systems
by Dymitr Ruta, Bogdan Gabrys 2002
"... In PAGE 8: ....51}. However in realistic situations if the performance differences are high, the worst classifiers are rejected and consequently the final differences are never that extreme. The results in Table2 showing extremely small absolute discrepancies from the real limits confirm our expectations. The limits component of the RE measure can be therefore considered as a fast and accurate estimation of the true MV error limits.... ..."
Cited by 3

Table 2. Average absolute relative abbreviations (in %) from the real upper limits of majority voting error imposed by applying definitions (2) based only on mean classifier error. Average abbreviations are calculated separately for each dataset out of all combinations of 3 classifers.

in New measure of classifier dependency in multiple classifier systems
by Dymitr Ruta, Bogdan Gabrys 2002
"... In PAGE 8: ....51}. However in realistic situations if the performance differences are high, the worst classifiers are rejected and consequently the final differences are never that extreme. The results in Table2 showing extremely small absolute discrepancies from the real limits confirm our expectations. The limits component of the RE measure can be therefore considered as a fast and accurate estimation of the true MV error limits.... ..."
Cited by 3

Table 2. Percentages, and their 95% and 99% confidence limits, of highly asymmetric observations that are interpreted to indicate real atmospheric asymmetry at different numbers of supporting model forecasts (SMF).

in under a Creative Commons License. Asymmetricity of ground-based GPS slant delay data
by R. Eresmaa, H. Järvinen, S. Niemelä, K. Salonen 2007
"... In PAGE 7: ... The larger the number of supporting model forecasts (SMF) is, the more convincing is the interpretation. The second column of Table2 shows the percentages of the SD observations receiving support of at least one, two, three or four SMF. A fraction of the highly asymmetric SD observations can be concluded to indicate a real atmospheric asymmetry.... In PAGE 7: ... 5.2 Statistical significance of the support It is obvious that the procedure described above would result in non-zero percentages in Table2 even in a case of artificial SD observations being definitely independent of real atmo- spheric conditions. In other words, some unknown percent- age of the artificial observations would accidentally receive support from the NWP model forecasts and would further be concluded to show an asymmetric meteorological signal.... In PAGE 7: ... In other words, some unknown percent- age of the artificial observations would accidentally receive support from the NWP model forecasts and would further be concluded to show an asymmetric meteorological signal. Therefore, confidence limits to the percentages in Table2 are estimated in the following way: A sample of one hundred sets of gaussian random numbers is constructed. Each set consists of 296 604 values being definitely not related to real www.... In PAGE 8: ... The conclusions of the experiment will be sensitive only to the order at which the random numbers happen to occur. The resulting 95% and 99% confidence limits are included in the third and fourth columns of Table2 for each level of SMF. The percentage of highly asymmetric SD observations indicating real atmospheric asymmetry exceeds the 99% con- fidence limit at all SMF levels.... ..."

Table 14. Bounded Probit Median: Close to River Sub-Sample Limit=100% of Income (Mean Income = $1,524.39 Reals/Household/Month)

in Projects: Uncertain Benefits of Willingness to Pay from Referendum
by Contingent Valuation By, Thomas Lutton, Nancy A. Wentzler, Diego J. Rodriguez, Diego J. Rodriguez 2000
"... In PAGE 60: ...0024, a standard deviation ( ) of 4.2697 ( Table14 , reciprocal of the Btrans parameter), and an index value (-X ) of 6.1622 (Table14).... ..."

Table 15. Bounded Probit Median: Far from River Sub-Sample Limit=100% of Income (Mean Income = $1,148.97 Reals/Household/Month)

in Projects: Uncertain Benefits of Willingness to Pay from Referendum
by Contingent Valuation By, Thomas Lutton, Nancy A. Wentzler, Diego J. Rodriguez, Diego J. Rodriguez 2000
Next 10 →
Results 1 - 10 of 22,432
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University