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» New developments of the Z-EDM algorithm
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UAI
1993
15 years 7 months ago
Using Causal Information and Local Measures to Learn Bayesian Networks
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
Wai Lam, Fahiem Bacchus
DKE
2008
106views more  DKE 2008»
15 years 6 months ago
Towards optimal k-anonymization
When releasing microdata for research purposes, one needs to preserve the privacy of respondents while maximizing data utility. An approach that has been studied extensively in re...
Tiancheng Li, Ninghui Li
CG
2007
Springer
15 years 6 months ago
Gradient based image completion by solving the Poisson equation
This paper presents a novel gradient-based image completion algorithm for removing significant objects from natural images or photographs. Our method reconstructs the region of r...
Jianbing Shen, Xiaogang Jin, Chuan Zhou, Charlie C...
CORR
2007
Springer
140views Education» more  CORR 2007»
15 years 6 months ago
From the entropy to the statistical structure of spike trains
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
Yun Gao, Ioannis Kontoyiannis, Elie Bienenstock
PR
2008
87views more  PR 2008»
15 years 6 months ago
Two-dimensional Laplacianfaces method for face recognition
In this paper we propose a two-dimensional (2D) Laplacianfaces method for face recognition. The new algorithm is developed based on two techniques, i.e., locality preserved embedd...
Ben Niu, Qiang Yang, Simon Chi-Keung Shiu, Sankar ...