1205 search results - page 6 / 241 » Quantization for distributed estimation using neural network... |
NIPS
2007
14 years 11 months ago
2007
It is becoming increasingly evident that organisms acting in uncertain dynamical environments often employ exact or approximate Bayesian statistical calculations in order to conti...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
We consider camera self-calibration, i.e. the estimation of parameters for camera sensors, in the setting of a visual sensor network where the sensors are distributed and energy-c...
GLOBECOM
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
AICT
2006
IEEE
15 years 1 months ago
2006
IEEE
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
PACT
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Experiments of neural network training procedure parallelization are conducted. Several styles of parallelization are described and compared, estimations of neural networ...