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» Long term tracking using Bayesian networks
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WSNA
2003
ACM
15 years 9 months ago
Cleaning and querying noisy sensors
Sensor networks have become an important source of data with numerous applications in monitoring various real-life phenomena as well as industrial applications and traffic contro...
Eiman Elnahrawy, Badri Nath
MOBISYS
2008
ACM
16 years 3 months ago
Supporting vehicular mobility in urban multi-hop wireless networks
Deployments of city-wide multi-hop 802.11 networks introduce challenges for maintaining client performance at vehicular speeds. We experimentally demonstrate that current network ...
Anastasios Giannoulis, Marco Fiore, Edward W. Knig...
SAC
2006
ACM
15 years 10 months ago
Bootstrapping multi-party ad-hoc security
Increasingly pervasive computing throws up scenarios where users may wish to achieve some degree of security in their interaction with other people or equipment, in contexts where...
Sadie Creese, Michael Goldsmith, Bill Roscoe, Ming...
IDEAL
2004
Springer
15 years 9 months ago
Combining Local and Global Models to Capture Fast and Slow Dynamics in Time Series Data
Many time series exhibit dynamics over vastly different time scales. The standard way to capture this behavior is to assume that the slow dynamics are a “trend”, to de-trend t...
Michael Small
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 8 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang