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» Learning from Multiple Sources of Inaccurate Data
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ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
14 years 2 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
KDD
2010
ACM
286views Data Mining» more  KDD 2010»
13 years 7 months ago
Nonnegative shared subspace learning and its application to social media retrieval
Although tagging has become increasingly popular in online image and video sharing systems, tags are known to be noisy, ambiguous, incomplete and subjective. These factors can ser...
Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Tru...
BMCBI
2005
132views more  BMCBI 2005»
13 years 8 months ago
Kalign - an accurate and fast multiple sequence alignment algorithm
Background: The alignment of multiple protein sequences is a fundamental step in the analysis of biological data. It has traditionally been applied to analyzing protein families f...
Timo Lassmann, Erik L. L. Sonnhammer
DAGSTUHL
2007
13 years 10 months ago
An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple D
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
Susan Darling Urban, Suzanne W. Dietrich, Yi Chen
3DPVT
2006
IEEE
145views Visualization» more  3DPVT 2006»
14 years 2 months ago
Light Source Calibration for IBR and BTF Acquisition Setups
Working with IBR/BTF data requires a complete calibration. Modern setups speed up recordings by using multiple lamps and cameras. Therefore, the calibration task gets more time co...
Alexander Neubeck, Alexey Zalesny, Luc J. Van Gool