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87
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PAMI
2008
189views more  PAMI 2008»
15 years 18 days ago
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
This work presents a framework for automatic feature extraction from images using stochastic geometry. Features in images are modeled as realizations of a spatial point process of ...
Mathias Ortner, Xavier Descombes, Josiane Zerubia
PAMI
2008
391views more  PAMI 2008»
15 years 18 days ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
120
Voted
PAMI
2006
181views more  PAMI 2006»
15 years 17 days ago
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging in many medical image analysis applications....
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka
112
Voted
PE
2006
Springer
107views Optimization» more  PE 2006»
15 years 17 days ago
Efficient steady-state analysis of second-order fluid stochastic Petri nets
This paper presents an efficient solution technique for the steady-state analysis of the second-order Stochastic Fluid Model underlying a second-order Fluid Stochastic Petri Net (...
Marco Gribaudo, Rossano Gaeta
110
Voted
SIAMSC
2008
192views more  SIAMSC 2008»
15 years 17 days ago
Surface Mesh Smoothing, Regularization, and Feature Detection
We describe a hybrid algorithm that is designed to reconstruct a piecewise smooth surface mesh from noisy input. While denoising, our method simultaneously regularizes triangle me...
Hui Huang, Uri M. Ascher