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» A Novel Framework for Discovering Robust Cluster Results
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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
CVPR
2007
IEEE
14 years 9 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
CLEANDB
2006
ACM
113views Database» more  CLEANDB 2006»
14 years 1 months ago
Column Heterogeneity as a Measure of Data Quality
Data quality is a serious concern in every data management application, and a variety of quality measures have been proposed, including accuracy, freshness and completeness, to ca...
Bing Tian Dai, Nick Koudas, Beng Chin Ooi, Divesh ...
AICCSA
2007
IEEE
108views Hardware» more  AICCSA 2007»
14 years 2 months ago
On Secure Consensus Information Fusion over Sensor Networks
In this work we have examined the problem of consensus information fusion from a novel point of view, challenging the fundamental assumption of mutual trust among the fusion parti...
Mahdi Kefayati, Mohammad Sadegh Talebi, Hamid R. R...
BMCBI
2010
133views more  BMCBI 2010»
13 years 7 months ago
New components of the Dictyostelium PKA pathway revealed by Bayesian analysis of expression data
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...