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145
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MOBISYS
2010
ACM
15 years 5 months ago
Darwin phones: the evolution of sensing and inference on mobile phones
We present Darwin, an enabling technology for mobile phone sensing that combines collaborative sensing and classification techniques to reason about human behavior and context on ...
Emiliano Miluzzo, Cory Cornelius, Ashwin Ramaswamy...
MOBISYS
2010
ACM
15 years 5 months ago
On the limits of effective hybrid micro-energy harvesting on mobile CRFID sensors
Mobile sensing is difficult without power. Emerging Computational RFIDs (CRFIDs) provide both sensing and generalpurpose computation without batteries--instead relying on small ca...
Jeremy Gummeson, Shane S. Clark, Kevin Fu, Deepak ...
AAAI
2008
15 years 5 months ago
Unstructured Audio Classification for Environment Recognition
My thesis aims to contribute towards building autonomous agents that are able to understand their surrounding environment through the use of both audio and visual information. To ...
Selina Chu
162
Voted
AAAI
2007
15 years 5 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...
142
Voted
AAAI
2007
15 years 5 months ago
Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning
Accurately locating users in a wireless environment is an important task for many pervasive computing and AI applications, such as activity recognition. In a WiFi environment, a m...
Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffr...
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