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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 8 days ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
ICVS
2001
Springer
15 years 4 months ago
A Fault-Tolerant Distributed Vision System Architecture for Object Tracking in a Smart Room
Abstract. In recent years, distributed computer vision has gained a lot of attention within the computer vision community for applications such as video surveillance and object tra...
Deepak R. Karuppiah, Zhigang Zhu, Prashant J. Shen...
KDD
2005
ACM
178views Data Mining» more  KDD 2005»
15 years 5 months ago
Failure detection and localization in component based systems by online tracking
The increasing complexity of today’s systems makes fast and accurate failure detection essential for their use in mission-critical applications. Various monitoring methods provi...
Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Ke...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 8 days 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
MOBICOM
2006
ACM
15 years 5 months ago
Routing algorithms for delay-insensitive and delay-sensitive applications in underwater sensor networks
Underwater sensor networks consist of sensors and vehicles deployed to perform collaborative monitoring tasks over a given region. Underwater sensor networks will find applicatio...
Dario Pompili, Tommaso Melodia, Ian F. Akyildiz