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ECIR
2003
Springer
13 years 11 months ago
Representative Sampling for Text Classification Using Support Vector Machines
In order to reduce human efforts, there has been increasing interest in applying active learning for training text classifiers. This paper describes a straightforward active learni...
Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi W...
CIKM
2010
Springer
13 years 8 months ago
Online stratified sampling: evaluating classifiers at web-scale
Deploying a classifier to large-scale systems such as the web requires careful feature design and performance evaluation. Evaluation is particularly challenging because these larg...
Paul N. Bennett, Vitor R. Carvalho
ICPR
2004
IEEE
14 years 11 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin
INFOCOM
2009
IEEE
14 years 4 months ago
Respondent-Driven Sampling for Characterizing Unstructured Overlays
—This paper presents Respondent-Driven Sampling (RDS) as a promising technique to derive unbiased estimates of node properties in unstructured overlay networks such as Gnutella. ...
Amir Hassan Rasti, Mojtaba Torkjazi, Reza Rejaie, ...
CVPR
2007
IEEE
14 years 4 months ago
Optimized Color Sampling for Robust Matting
Image matting is the problem of determining for each pixel in an image whether it is foreground, background, or the mixing parameter, ”alpha”, for those pixels that are a mixt...
Jue Wang, Michael F. Cohen