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» Real world performance of association rule algorithms
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KDD
2009
ACM
150views Data Mining» more  KDD 2009»
15 years 10 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
MDM
2005
Springer
127views Communications» more  MDM 2005»
15 years 3 months ago
Panel on mobility in sensor networks
Sensor networks are promising unprecedented levels of access to information about the physical world, in real time. Many areas of human activity are starting to see the benefits ...
Alexandros Labrinidis, Anthony Stefanidis
PERVASIVE
2004
Springer
15 years 3 months ago
"Are You with Me?" - Using Accelerometers to Determine If Two Devices Are Carried by the Same Person
As the proliferation of pervasive and ubiquitous computing devices continues, users will carry more devices. Without the ability for these devices to unobtrusively interact with on...
Jonathan Lester, Blake Hannaford, Gaetano Borriell...
MM
2010
ACM
196views Multimedia» more  MM 2010»
14 years 10 months ago
Non-parametric anomaly detection exploiting space-time features
In this paper a real-time anomaly detection system for video streams is proposed. Spatio-temporal features are exploited to capture scene dynamic statistics together with appearan...
Lorenzo Seidenari, Marco Bertini
PCM
2010
Springer
204views Multimedia» more  PCM 2010»
14 years 8 months ago
Learning Contextual Metrics for Automatic Image Annotation
Abstract. The semantic contextual information is shown to be an important resource for improving the scene and image recognition, but is seldom explored in the literature of previo...
Zuotao Liu, Xiangdong Zhou, Yu Xiang, Yan-Tao Zhen...