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INFOCOM
1992
IEEE
13 years 9 months ago
SMDS Measurements and Modeling to Predict Performance
Steven H. Low, Kathleen M. Nichols
ESANN
2008
13 years 6 months ago
Using graph-theoretic measures to predict the performance of associative memory models
We test a selection of associative memory models built with different connection strategies, exploring the relationship between the structural properties of each network and its pa...
Lee Calcraft, Rod Adams, Weiliang Chen, Neil Davey
SIGIR
2009
ACM
13 years 11 months ago
Estimating query performance using class predictions
We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity ...
Kevyn Collins-Thompson, Paul N. Bennett
FGR
2008
IEEE
238views Biometrics» more  FGR 2008»
13 years 11 months ago
Focus on quality, predicting FRVT 2006 performance
This paper summarizes a study carried out on data from the Face Recognition Vendor Test 2006 (FRVT 2006). The finding of greatest practical importance is the discovery of a stron...
J. Ross Beveridge, Geof H. Givens, P. Jonathon Phi...
AVBPA
2003
Springer
126views Biometrics» more  AVBPA 2003»
13 years 10 months ago
Predicting Large Population Data Cumulative Match Characteristic Performance from Small Population Data
Given a biometric feature-space, in this paper we present a method to predict cumulative match characteristic (CMC) curve performance for a large population of individuals using a ...
Amos Y. Johnson, Jie Sun, Aaron F. Bobick