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» Data fusion in sensor networks
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ESANN
2006
14 years 11 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
AIPR
2006
IEEE
15 years 3 months ago
Data Fusion, De-noising, and Filtering to Produce Cloud-Free High Quality Temporal Composites Employing Parallel Temporal Map Al
Remotely sensed images from satellite sensors such as MODIS Aqua and Terra provide high temporal resolution and wide area coverage. Unfortunately, these images frequently include ...
Bijay Shrestha, Charles G. O'Hara, Preeti Mali
GLOBECOM
2008
IEEE
14 years 11 months ago
Mobile Solution for Three-Tier Biofeedback Data Acquisition and Processing
— Wireless sensor networks span from military applications into everyday life. Body sensor networks greatly benefit from wireless sensor networks to answer the biofeedback challe...
Orlando R. E. Pereira, Paulo A. C. S. Neves, Joel ...
JSAC
2008
98views more  JSAC 2008»
14 years 9 months ago
Randomized consensus algorithms over large scale networks
Suppose we have a directed graph G with set of nodes V = {1, . . . , N} and a measure xi for every node i V . The average consensus problem consists in computing the average xA = ...
Fabio Fagnani, Sandro Zampieri
ICASSP
2009
IEEE
15 years 4 months ago
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...
Ondrej Hlinka, Franz Hlawatsch