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NIPS
2007
14 years 11 months ago
Variational Inference for Diffusion Processes
Diffusion processes are a family of continuous-time continuous-state stochastic processes that are in general only partially observed. The joint estimation of the forcing paramete...
Cédric Archambeau, Manfred Opper, Yuan Shen...
ICDAR
2005
IEEE
15 years 3 months ago
Multi-scale Techniques for Document Page Segmentation
Page segmentation algorithms found in published literatures often rely on some predetermined parameters such as general font sizes, distances between text lines and document scan ...
Zhixin Shi, Venu Govindaraju
CVBIA
2005
Springer
15 years 3 months ago
Segmentation of 3D CT Volume Images Using a Single 2D Atlas
Segmentation of medical images is an important first step in the analysis of medical images. A lot of research has been performed on the segmentation of complex CT/MR images using...
Feng Ding, Wee Kheng Leow, Shih-Chang Wang
CVPR
2010
IEEE
15 years 4 months ago
Variational Segmentation of Volumetric Elongated Objects
We present an interactive approach for segmenting thin volumetric structures. The proposed segmentation model is based on an anisotropic weighted Total Variation energy with a glob...
Christian Reinbacher, Thomas Pock, Christian Bauer...
DAGM
2005
Springer
15 years 3 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
Abstract. This paper presents the integration of 3D shape knowledge into a variational model for level set based image segmentation and tracking. Having a 3D surface model of an ob...
Thomas Brox, Bodo Rosenhahn, Joachim Weickert