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97
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ECCV
2002
Springer
16 years 3 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...
CVPR
2004
IEEE
16 years 3 months ago
Scale Selection for Anisotropic Scale-Space: Application to Volumetric Tumor Characterization
A unified approach for treating the scale selection problem in the anisotropic scale-space is proposed. The anisotropic scale-space is a generalization of the classical isotropic ...
Kazunori Okada, Dorin Comaniciu, Arun Krishnan
3DIM
2005
IEEE
15 years 7 months ago
Automatic Burr Detection on Surfaces of Revolution Based on Adaptive 3D Scanning
This paper describes how to automatically extract the presence and location of geometrical irregularities on a surface of revolution. To this end a partial 3D scan of the workpiec...
Kasper Claes, Thomas P. Koninckx, Herman Bruyninck...
121
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ISCI
2008
137views more  ISCI 2008»
15 years 1 months ago
Stochastic dominance-based rough set model for ordinal classification
In order to discover interesting patterns and dependencies in data, an approach based on rough set theory can be used. In particular, Dominance-based Rough Set Approach (DRSA) has...
Wojciech Kotlowski, Krzysztof Dembczynski, Salvato...
TSP
2008
132views more  TSP 2008»
15 years 1 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty