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BMCBI
2010
147views more  BMCBI 2010»
13 years 8 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
CVPR
2011
IEEE
13 years 4 months ago
Single-Image Shadow Detection and Removal using Paired Regions
In this paper, we address the problem of shadow detection and removal from single images of natural scenes. Different from traditional methods that explore pixel or edge informati...
Ruiqi Guo, Qieyun Dai, Derek Hoiem
CVPR
1999
IEEE
14 years 10 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren
ENTCS
2008
94views more  ENTCS 2008»
13 years 8 months ago
From Reversible to Irreversible Computations
In this paper we study the relation between reversible and irreversible computation applicable to different models of computation -- here we are considering classical and quantum ...
Alexander S. Green, Thorsten Altenkirch
CIE
2009
Springer
14 years 3 months ago
Ordinal Computability
computability uses ordinals instead of natural numbers in abstract machines like register or Turing machines. We give an overview of the computational strengths of α-β-machines,...
Peter Koepke