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» Informative sampling for large unbalanced data sets
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165
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SIBGRAPI
2003
IEEE
15 years 9 months ago
A Hole-Filling Strategy for Reconstruction of Smooth Surfaces in Range Images
Creating models of real scenes is a complex task for which the use of traditional modelling techniques is inappropriate. For this task, laser rangefinders are frequently used to s...
Jianning Wang, Manuel M. Oliveira
137
Voted
ICMCS
2005
IEEE
90views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Integrating co-training and recognition for text detection
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...
Wen Wu, Datong Chen, Jie Yang
145
Voted
CORR
2010
Springer
136views Education» more  CORR 2010»
15 years 2 months ago
Viewpoints: A high-performance high-dimensional exploratory data analysis tool
Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets,...
Paul R. Gazis, C. Levit, Michael J. Way
110
Voted
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
16 years 4 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
107
Voted
SIGIR
2006
ACM
15 years 9 months ago
A statistical method for system evaluation using incomplete judgments
We consider the problem of large-scale retrieval evaluation, and we propose a statistical method for evaluating retrieval systems using incomplete judgments. Unlike existing techn...
Javed A. Aslam, Virgiliu Pavlu, Emine Yilmaz