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SIGIR
2009
ACM
15 years 10 months ago
Spam filter evaluation with imprecise ground truth
When trained and evaluated on accurately labeled datasets, online email spam filters are remarkably effective, achieving error rates an order of magnitude better than classifie...
Gordon V. Cormack, Aleksander Kolcz
ERSHOV
1999
Springer
15 years 8 months ago
The Essence of Program Transformation by Partial Evaluation and Driving
Abstract. An abstract framework is developed to describe program transformation by specializing a given program to a restricted set of inputs. Particular cases include partial eval...
Neil D. Jones
AAI
2006
110views more  AAI 2006»
15 years 4 months ago
Evaluation of Classifiers for an Uneven Class Distribution Problem
Classification problems with uneven class distributions present several difficulties during the training as well as during the evaluation process of classifiers. A classification ...
Sophia Daskalaki, Ioannis Kopanas, Nikolaos M. Avo...
PAMI
2007
171views more  PAMI 2007»
15 years 3 months ago
Toward Objective Evaluation of Image Segmentation Algorithms
—Unsupervised image segmentation is an important component in many image understanding algorithms and practical vision systems. However, evaluation of segmentation algorithms thu...
Ranjith Unnikrishnan, Caroline Pantofaru, Martial ...
ISBI
2006
IEEE
16 years 4 months ago
Evaluation of anisotropic filters for diffusion tensor imaging
Diffusion tensor imaging (DTI) measures, such as fractional anisotropy (FA), and trace are very sensitive to noise contained in the acquired diffusion weighted images. Typical iso...
Jee Eun Lee, Moo K. Chung, Andrew L. Alexander