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» Distributed parameter estimation in networks
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110
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ISAAC
2003
Springer
129views Algorithms» more  ISAAC 2003»
15 years 5 months ago
Polynomial Time Approximate Sampler for Discretized Dirichlet Distribution
Abstract. In this paper, we propose a Markov chain for sampling a random vector distributed according to a discretized Dirichlet distribution. We show that our Markov chain is rapi...
Tomomi Matsui, Mitsuo Motoki, Naoyuki Kamatani
CORR
2010
Springer
105views Education» more  CORR 2010»
14 years 7 months ago
Universal and Robust Distributed Network Codes
Random linear network codes can be designed and implemented in a distributed manner, with low computational complexity. However, these codes are classically implemented [1] over fi...
Tracey Ho, Sidharth Jaggi, Svitlana Vyetrenko, Lin...
99
Voted
UAI
2000
15 years 1 months ago
Adaptive Importance Sampling for Estimation in Structured Domains
Sampling is an important tool for estimating large, complex sums and integrals over highdimensional spaces. For instance, importance sampling has been used as an alternative to ex...
Luis E. Ortiz, Leslie Pack Kaelbling
99
Voted
TSMC
2008
128views more  TSMC 2008»
15 years 13 days ago
Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects
Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
Zhen Guo, MengChu Zhou, Guofei Jiang
CVPR
2009
IEEE
16 years 4 months ago
Distributed Volumetric Scene Geometry Reconstruction With a Network of Distributed Smart Cameras
Central to many problems in scene understanding based on using a network of tens, hundreds or even thousands of randomly distributed cameras with on-board processing and wireless c...
Shubao Liu, Kongbin Kang, Jean-Philippe Tarel and ...