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ICPR
2002
IEEE
14 years 8 months ago
Structure in Errors: A Case Study in Fingerprint Verification
Measuring the accuracy of biometrics systems is important. Accuracy estimates depend very much on the quality of the test data that are used. Including poor quality data will degr...
Sharath Pankanti, Nalini K. Ratha, Ruud M. Bolle
JMLR
2006
123views more  JMLR 2006»
13 years 7 months ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
ACL
2008
13 years 9 months ago
Assessing the Costs of Sampling Methods in Active Learning for Annotation
Traditional Active Learning (AL) techniques assume that the annotation of each datum costs the same. This is not the case when annotating sequences; some sequences will take longe...
Robbie Haertel, Eric K. Ringger, Kevin D. Seppi, J...
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
13 years 5 months ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
SIBGRAPI
2005
IEEE
14 years 1 months ago
Component-Based Adaptive Sampling
High-fidelity renderings of virtual environments is a notoriously computationally expensive task. One commonly used method to alleviate the costs is to adaptively sample the rend...
Kurt Debattista, Alan Chalmers