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113
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CORR
2008
Springer
167views Education» more  CORR 2008»
15 years 25 days ago
Energy Scaling Laws for Distributed Inference in Random Networks
The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Animashree Anandkumar, Joseph E. Yukich, Lang Tong...
90
Voted
CSSE
2008
IEEE
15 years 7 months ago
Simulation on Random Motion of Numerous Spheres with Collision-Event-Driven Approach
: Computer simulation on random motion of numerous moving spheres is widely used. This paper presents a collision-event-driven approach that efficiently implements the simulation o...
Hu Qitu, Deng Xiao, Zhang Xiaolin
104
Voted
CSR
2006
Springer
15 years 4 months ago
Constructive Equivalence Relations on Computable Probability Measures
A central object of study in the field of algorithmic randomness are notions of randomness for sequences, i.e., infinite sequences of zeros and ones. These notions are usually def...
Laurent Bienvenu
CVPR
2005
IEEE
16 years 2 months ago
Fields of Experts: A Framework for Learning Image Priors
We develop a framework for learning generic, expressive image priors that capture the statistics of natural scenes and can be used for a variety of machine vision tasks. The appro...
Stefan Roth, Michael J. Black
97
Voted
TIP
2008
126views more  TIP 2008»
15 years 19 days ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld