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» Evaluating algorithms that learn from data streams
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CVPR
2006
IEEE
16 years 9 months ago
Fusion of Detection and Matching Based Approaches for Laser Based Multiple People Tracking
Most of visual tracking algorithms have been achieved by matching-based searching strategies or detection-based data association algorithms. In this paper, our objective is to ana...
Jinshi Cui, Huijing Zhao, Ryosuke Shibasaki
INFOCOM
2005
IEEE
16 years 1 months ago
Power aware routing for sensor databases
— Wireless sensor networks offer the potential to span and monitor large geographical areas inexpensively. Sensor network databases like TinyDB [1] are the dominant architectures...
Chiranjeeb Buragohain, Divyakant Agrawal, Subhash ...
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
15 years 5 months ago
Interesting Subset Discovery and Its Application on Service Processes
Various real-life datasets can be viewed as a set of records consisting of attributes explaining the records and set of measures evaluating the records. In this paper, we address t...
Maitreya Natu, Girish Keshav Palshikar
CIKM
2011
Springer
14 years 7 months ago
Scalable entity matching computation with materialization
Entity matching (EM) is the task of identifying records that refer to the same real-world entity from different data sources. While EM is widely used in data integration and data...
Sanghoon Lee, Jongwuk Lee, Seung-won Hwang
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
16 years 1 months ago
Choice and development
The process of development creates a phenotype from one or more genotypes of an individual through interaction with an environment. The opportunity for development to choose a phe...
Arthur M. Farley