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» Data Reduction Using Multiple Models Integration
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82
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BMCBI
2008
95views more  BMCBI 2008»
14 years 9 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
PR
2008
228views more  PR 2008»
14 years 9 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu
EDBTW
2006
Springer
15 years 1 months ago
Interoperation Between Information Spaces on the Web
In my thesis I will address the problem of interoperation between information spaces on the web. We explain how this problem is different to traditional database integration scenar...
Andreas Harth
72
Voted
ICCV
2003
IEEE
15 years 11 months ago
Automatically Labeling Video Data Using Multi-class Active Learning
Labeling video data is an essential prerequisite for many vision applications that depend on training data, such as visual information retrieval, object recognition, and human act...
Rong Yan, Jie Yang, Alexander G. Hauptmann
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
15 years 10 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han