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DMIN
2006
125views Data Mining» more  DMIN 2006»
15 years 5 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
147
Voted
CGF
2006
155views more  CGF 2006»
15 years 3 months ago
Opacity Peeling for Direct Volume Rendering
The most important technique to visualize 3D scalar data, as they arise e.g. in medicine from tomographic measurement, is direct volume rendering. A transfer function maps the sca...
Christof Rezk-Salama, Andreas Kolb
143
Voted
BMCBI
2007
143views more  BMCBI 2007»
15 years 3 months ago
An adaptive bin framework search method for a beta-sheet protein homopolymer model
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
Alena Shmygelska, Holger H. Hoos
100
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ICPR
2006
IEEE
16 years 4 months ago
Detecting Text Lines in Handwritten Documents
Although detecting text lines in machine printed documents is typically considered a solved problem, it is still a challenge to segment handwritten text lines in the general sense...
Yi Li, Yefeng Zheng, David S. Doermann
ICPR
2008
IEEE
15 years 10 months ago
Robust estimation of foreground in surveillance videos by sparse error estimation
Frames of videos with static background and dynamic foreground can be viewed as samples of signals that vary slowly in time with sparse corruption caused by foreground objects. We...
Mert Dikmen, Thomas S. Huang