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117
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IJUFKS
2000
111views more  IJUFKS 2000»
15 years 18 days ago
A Factorized Representation of Independence of Causal Influence and Lazy Propagation
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
Anders L. Madsen, Bruce D'Ambrosio
127
Voted
IJCV
1998
157views more  IJCV 1998»
15 years 14 days ago
Stereo Matching with Nonlinear Diffusion
One of the central problems in stereo matching (and other image registration tasks) is the selection of optimal window sizes for comparing image regions. This paper addresses this ...
Daniel Scharstein, Richard Szeliski
TIT
2002
81views more  TIT 2002»
15 years 13 days ago
Multicast topology inference from measured end-to-end loss
Abstract--The use of multicast inference on end-to-end measurement has recently been proposed as a means to infer network internal characteristics such as packet link loss rate and...
Nick G. Duffield, Joseph Horowitz, Francesco Lo Pr...
112
Voted
TIT
2002
125views more  TIT 2002»
15 years 13 days ago
Optimal bi-level quantization of i.i.d. sensor observations for binary hypothesis testing
We consider the problem of binary hypothesis testing using binary decisions from independent and identically distributed (i.i.d). sensors. Identical likelihood-ratio quantizers wit...
Qian Zhang, Pramod K. Varshney, Richard D. Wesel
92
Voted
ICPR
2010
IEEE
14 years 11 months ago
Data-Driven Lung Nodule Models for Robust Nodule Detection in Chest CT
The quality of the lung nodule models determines the success of lung nodule detection. This paper describes aspects of our data-driven approach for modeling lung nodules using the...
Amal Farag, James Graham, Aly A. Farag