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» Adaptive Sampling for Noisy Problems
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JSAC
2008
85views more  JSAC 2008»
14 years 12 months ago
A distributed minimum variance estimator for sensor networks
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is jointly tracked by a network of sensor nodes, in which each node computes its es...
Alberto Speranzon, Carlo Fischione, Karl Henrik Jo...
ICIP
2009
IEEE
14 years 9 months ago
Improving the quality of depth image based rendering for 3D Video systems
In 3D Video (3DV) applications, a reduced number of views plus depth maps are transmitted or stored. When there is a need to render virtual views in between the actual views, the ...
Zefeng Ni, Dong Tian, Sitaram Bhagavathy, Joan Lla...
ICASSP
2011
IEEE
14 years 3 months ago
Adaptive compressive sensing and processing for radar tracking
Compressive sensing and processing of radar waveforms enables high-resolution tracking while using low sampling rates and inexpensive processing. Compressive processing, however, ...
Ioannis Kyriakides
ICDE
2006
IEEE
285views Database» more  ICDE 2006»
16 years 1 months ago
An Approach to Adaptive Memory Management in Data Stream Systems
Adaptivity is a challenging open issue in data stream management. In this paper, we tackle the problem of memory adaptivity inside a system executing temporal sliding window queri...
Bernhard Seeger, Jürgen Krämer, Michael ...
CSDA
2010
118views more  CSDA 2010»
14 years 12 months ago
Grapham: Graphical models with adaptive random walk Metropolis algorithms
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
Matti Vihola