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» Learning from Multiple Sources of Inaccurate Data
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Publication
200views
12 years 3 months ago
Learning Tags from Unsegmented Videos of Multiple Human Actions
Providing methods to support semantic interaction with growing volumes of video data is an increasingly important challenge for data mining. To this end, there has been some succes...
Timothy Hospedales, Shaogang Gong, Tao Xiang
SIGMOD
1999
ACM
127views Database» more  SIGMOD 1999»
13 years 11 months ago
An Adaptive Query Execution System for Data Integration
Query processing in data integration occurs over network-bound, autonomous data sources. This requires extensions to traditional optimization and execution techniques for three re...
Zachary G. Ives, Daniela Florescu, Marc Friedman, ...
KDD
2009
ACM
205views Data Mining» more  KDD 2009»
14 years 2 months ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
DAGM
2011
Springer
12 years 7 months ago
Multiple Instance Boosting for Face Recognition in Videos
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...
Paul Wohlhart, Martin Köstinger, Peter M. Rot...
ECEASST
2010
13 years 4 months ago
Integrating Data from Multiple Repositories to Analyze Patterns of Contribution in FOSS Projects
: The majority of Free and Open Source Software (FOSS) developers are mobile and often use different identities in the projects or communities they participate in. These characteri...
Sulayman K. Sowe, Antonio Cerone