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MICCAI
2003
Springer
16 years 4 months ago
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
Marcel Prastawa, Elizabeth Bullitt, Sean Ho, Guido...
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
15 years 10 months ago
Robust web extraction: an approach based on a probabilistic tree-edit model
On script-generated web sites, many documents share common HTML tree structure, allowing wrappers to effectively extract information of interest. Of course, the scripts and thus ...
Nilesh N. Dalvi, Philip Bohannon, Fei Sha
137
Voted
IJCV
2000
164views more  IJCV 2000»
15 years 3 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
135
Voted
ICPR
2002
IEEE
16 years 4 months ago
Curvature Estimation of Surfaces in 3D Grey-Value Images
In this paper we present a novel method to estimate curvature of iso grey-level surfaces in grey-value images. Our method succeeds where isophote curvature fails. There is neither...
Bernd Rieger, Frederik J. Timmermans, Lucas J. van...
130
Voted
ICIP
2006
IEEE
16 years 5 months ago
Robust Anisotropic Disparity Estimation with Perceptual Maximum Variation Modeling
We present a robust anisotropic dense disparity estimation algorithm which employs perceptual maximum variation modeling. Edge-preserving dense disparity vectors are estimated usi...
Jangheon Kim, Thomas Sikora