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» Mobile Context Inference Using Low-Cost Sensors
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MM
2004
ACM
133views Multimedia» more  MM 2004»
13 years 11 months ago
From context to content: leveraging context to infer media metadata
The recent popularity of mobile camera phones allows for new opportunities to gather important metadata at the point of capture. This paper describes a method for generating metad...
Marc Davis, Simon King, Nathan Good, Risto Sarvas
ICRA
2009
IEEE
94views Robotics» more  ICRA 2009»
14 years 13 days ago
Inferring a probability distribution function for the pose of a sensor network using a mobile robot
— In this paper we present an approach for localizing a sensor network augmented with a mobile robot which is capable of providing inter-sensor pose estimates through its odometr...
David Meger, Dimitri Marinakis, Ioannis M. Rekleit...
PERCOM
2010
ACM
13 years 4 months ago
Towards the adaptive integration of multiple context reasoners in pervasive computing environments
Abstract—The pervasive computing vision consists in realizing ubiquitous technologies to support the execution of people’s everyday tasks by proactively providing appropriate i...
Daniele Riboni, Linda Pareschi, Claudio Bettini
AAAI
2007
13 years 8 months ago
Hybrid Inference for Sensor Network Localization Using a Mobile Robot
In this paper, we consider a hybrid solution to the sensor network position inference problem, which combines a real-time filtering system with information from a more expensive,...
Dimitri Marinakis, David Meger, Ioannis M. Rekleit...
NETWORK
2007
167views more  NETWORK 2007»
13 years 5 months ago
Sensor Localization under Limited Measurement Capabilities
If we abstract a sensor network as a network graph consisting of vertices and edges, where vertices represent sensor nodes and edges represent distance measurements between neighbo...
Chen Wang, Li Xiao