• 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 142,894
Next 10 →

Table 2 The Berkeley Benchmark Set

in
by unknown authors

Table 1: Segmentation results using images from Berkeley dataset [5]. ITV OUR

in An Automatic Framework for Figure-Ground Segmentation in Cluttered Backgrounds
by Leandro A. Loss, George Bebis, Mircea Nicolescu, Alexei Skurikhin
"... In PAGE 9: ... Table1 shows specific results for each of the images shown in Fig. 7.... ..."

Table 2 summarizes our results on the Berkeley Benchmark Set.

in
by unknown authors

Table 2: Admissions to Berkeley graduate programs

in Visualizing Categorical Data: Data, Stories, and Pictures
by Michael Friendly
"... In PAGE 2: ...ents at U. C. Berkeley in 1973. Aggregate data for the six largest departments are shown in Table2 , classified by admission and gen- der. The issue was whether these data showed evidence of gender bias in admissions.... In PAGE 3: ...Fourfold displays Table2 is an example of a 2 #02 2 table. For such data, the odds ratio, #12 = n 11 n 22 =n 12 n 21 , is a natural measure of the strength of association between the two variables.... In PAGE 4: ...1 Survival on the Titanic Given the interest in the sinking of the Titanic, it is somewhat sur- prising that neither the exact death toll from this disaster nor the dis- tributions of death among the passengers and crew are universally agreed. Dawson (1995, Table2 ) presents the cross-classification of 2201 passengers and crew on the Titanic by Age, Gender, Class (1st, 2nd, 3rd, Crew) shown in Table 3 and describes his efforts to reconcile various historical sources. Let us see what we can learn from this dataset.... ..."

TABLE I. THE SEQUENCE-STRUCTURE PAIRS*. s p % DIFF.

in Assessing The Performance Of Fold Recognition Methods By Means Of A Comprehensive Benchmark.
by Daniel Fischer, Arne Elofsson, Danny Rice, David Eisenberg 1996
Cited by 27

Table 1. ROBDD vs. MLDD in size and performance with Berkeley ordering

in Boolean Function Representation based on disjoint-support decompositions
by Valeria Bertacco, Maurizio Damiani 1996
"... In PAGE 8: ... CPU-time was taken on a HP Vectra 5/133 with 48Mbytes of RAM. From Table1 , MLDDs turn out to be more compact on average of 18%. Some benchmarks give particularly good results, for example comp and pair, benchmarks which TDNOR is very effective in decomposing output functions until reaching input variables or very simple functions.... ..."
Cited by 2

Table 1. Information about the simulated segments of the benchmark programs skipped simulated %

in ABSTRACT Improving Memory System Performance with Energy-Efficient Value Speculation
by unknown authors
"... In PAGE 4: ... We employed SimPoint [23] to select a representative subset (500 million instructions in length) of each benchmark trace. Table1 shows the number of instructions (in billions) that are skipped before beginning the cycle-accurate simulations, the number of simulated load instructions (in millions), the percentage of simulated instructions that are loads and the IPC on the baseline CPU, for each program. Table 1.... ..."

Table 1. Information about the simulated segments of the benchmark programs

in On the Energy-Efficiency of Speculative Hardware
by Nana B. Sam, Martin Burtscher 2005
"... In PAGE 5: ... 4.3 Benchmarks Table1 describes the ten C programs (six integer and four float- ing-point) from the SPECcpu2000 benchmark suite [23] that we use for our measurements. They were compiled on a DEC Alpha 21264A processor using the DEC C compiler under the OSF/1 v5.... In PAGE 5: ... We utilize SimPoint [24] to select a representative subset (500 million instructions in length) of each benchmark trace. Table1 shows the number of instructions (in billions) that are skipped before beginning the cycle-accurate simulations, the number of simulated load instructions (in millions), the percent- age of simulated instructions that are loads and the IPC on the baseline CPU. The following SPECcpu2000 programs are not used.... ..."
Cited by 2

Table 2: Latency of storage operations in milliseconds. Queries retrieve all stored tuples. BDB shows perfor- mance of the Berkeley DB without serialization, and Se- rial BDB shows performance of the Berkeley DB with se- rialization.

in Programming for Pervasive Computing Environments
by Robert Grimm, Janet Davis, Eric Lemar, Adam Macbeth, Steven Swanson, Steven Gribble, Tom Anderson, Brian Bershad, Gaetano Borriello, David Wetherall 2001
"... In PAGE 8: ... All tests use a store with 1,000 such tuples. Table2 shows the results for the comparison between structured I/O and the Berkeley DB. Writes are dominated by the cost of forcing each write to disk and thus perform the same in all cases.... ..."
Cited by 36

Table 3. Sharing a Berkeley DB database (2).

in Abstract Chunk: A Framework for Modular Distributed Shared Memory Systems
by unknown authors
"... In PAGE 9: ... This configuration reduces the total number of page faults in the system. Table3 shows the results. Configuration Running time (sec) Local 6.... ..."
Next 10 →
Results 1 - 10 of 142,894
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