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PVLDB
2010
81views more  PVLDB 2010»
15 years 3 months ago
SOLOMON: Seeking the Truth Via Copying Detection
We live in the Information Era, with access to a huge amount of information from a variety of data sources. However, data sources are of different qualities, often providing conï¬...
Xin Dong, Laure Berti-Equille, Yifan Hu, Divesh Sr...
IAT
2010
IEEE
15 years 2 months ago
Semi-supervised Learning for Opinion Detection
Research on opinion detection has shown that a large number of opinion-labeled data are necessary for capturing subtle opinions. However, opinion-labeled data, especially at the su...
Ning Yu, Sandra Kübler
ICDM
2010
IEEE
185views Data Mining» more  ICDM 2010»
15 years 2 months ago
Detecting Non-compliant Consumers in Spatio-Temporal Health Data: A Case Study from Medicare Australia
This paper describes our experience with applying data mining techniques to the problem of fraud detection in spatio-temporal health data in Medicare Australia. A modular framework...
Kee Siong Ng, Yin Shan, D. Wayne Murray, Alison Su...
ICIP
2010
IEEE
15 years 2 months ago
A supervised micro-calcification detection approach in digitised mammograms
We present in this paper a supervised approach for automatic detection of micro-calcifications. The system is based on learning the different morphology of the micro-calcification...
Albert Torrent, Arnau Oliver, Xavier Lladó,...
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
15 years 2 months ago
An integrated probabilistic model for scan-matching, moving object detection and motion estimation
Abstract-- This paper presents a novel framework for integrating fundamental tasks in robotic navigation through a statistical inference procedure. A probabilistic model that joint...
Joop van de Ven, Fabio Ramos, Gian Diego Tipaldi