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» Cuts in Bayesian graphical models
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IWCM
2004
Springer
15 years 4 months ago
Bayesian Approaches to Motion-Based Image and Video Segmentation
We present a variational approach for segmenting the image plane into regions of piecewise parametric motion given two or more frames from an image sequence. Our model is based on ...
Daniel Cremers
VISUALIZATION
2000
IEEE
15 years 3 months ago
Visualizing volume data using physical models
Visualization techniques enable scientists to interactively explore 3D data sets, segmenting and cutting them to reveal inner structure. While powerful, these techniques suffer fr...
David R. Nadeau, Michael J. Bailey
ICASSP
2011
IEEE
14 years 2 months ago
Maximum margin structure learning of Bayesian network classifiers
Recently, the margin criterion has been successfully used for parameter optimization in graphical models. We introduce maximum margin based structure learning for Bayesian network...
Franz Pernkop, Michael Wohlmay, Manfred Mücke
DCC
2010
IEEE
14 years 9 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
SIGGRAPH
2010
ACM
15 years 3 months ago
Popup: automatic paper architectures from 3D models
Paper architectures are 3D paper buildings created by folding and cutting. The creation process of paper architecture is often laborintensive and highly skill-demanding, even with...
Xian-Ying Li, Chao-Hui Shen, Shi-Sheng Huang, Tao ...