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» Towards maximizing the accuracy of human-labeled sensor data
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ASUNAM
2010
IEEE
13 years 6 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti
IJRR
2007
236views more  IJRR 2007»
13 years 7 months ago
Towards High-resolution Imaging from Underwater Vehicles
Large area mapping at high resolution underwater continues to be constrained by sensor-level environmental constraints and the mismatch between available navigation and sensor acc...
Hanumant Singh, Christopher N. Roman, Oscar Pizarr...
AAAI
2008
13 years 10 months ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
IHI
2012
287views Healthcare» more  IHI 2012»
12 years 3 months ago
MARHS: mobility assessment system with remote healthcare functionality for movement disorders
Due to the global trend of aging societies with increasing demand for low cost and high quality healthcare services, there has been extensive research and development directed tow...
Sunghoon Ivan Lee, Jonathan Woodbridge, Ani Nahape...
TSP
2010
13 years 2 months ago
Code design for radar STAP via optimization theory
Abstract--In this paper, we deal with the problem of constrained code optimization for radar space-time adaptive processing (STAP) in the presence of colored Gaussian disturbance. ...
Antonio De Maio, Silvio De Nicola, Yongwei Huang, ...