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97
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PG
2003
IEEE
15 years 6 months ago
Neural Meshes: Statistical Learning Based on Normals
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...
149
Voted
MOBISYS
2009
ACM
16 years 1 months ago
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Top end mobile phones include a number of specialized (e.g., accelerometer, compass, GPS) and general purpose sensors (e.g., microphone, camera) that enable new people-centric sen...
Hong Lu, Wei Pan, Nicholas D. Lane, Tanzeem Choudh...
105
Voted
TELSYS
2008
114views more  TELSYS 2008»
15 years 18 days ago
Efficient probe selection algorithms for fault diagnosis
Increase in the network usage for more and more performance critical applications has caused a demand for tools that can monitor network health with minimum management traffic. Ada...
Maitreya Natu, Adarshpal S. Sethi, Errol L. Lloyd
109
Voted
SENSYS
2010
ACM
14 years 10 months ago
Adaptive decentralized control of underwater sensor networks for modeling underwater phenomena
Understanding the dynamics of bodies of water and their impact on the global environment requires sensing information over the full volume of water. We develop a gradientbased dec...
Carrick Detweiler, Marek Doniec, Mingshun Jiang, M...
98
Voted
ISBI
2007
IEEE
15 years 7 months ago
Patch-Based Nonlocal Denoising for MRI and Ultrasound Images
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
Xin Li