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» An adaptive graph model for automatic image annotation
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MICCAI
2007
Springer
16 years 22 days ago
Automatic Segmentation of Bladder and Prostate Using Coupled 3D Deformable Models
In this paper, we propose a fully automatic method for the coupled 3D localization and segmentation of lower abdomen structures. We apply it to the joint segmentation of the prosta...
Hervé Delingette, María Jimena Costa...
ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
14 years 9 months ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu
MICCAI
2007
Springer
16 years 22 days ago
Automatic Whole Heart Segmentation in Static Magnetic Resonance Image Volumes
We present a fully automatic segmentation algorithm for the whole heart (four chambers, left ventricular myocardium and trunks of the aorta, the pulmonary artery and the pulmonary ...
Jochen Peters, Olivier Ecabert, Carsten Meyer, Hau...
LREC
2010
179views Education» more  LREC 2010»
15 years 1 months ago
Building a Bank of Semantically Encoded Narratives
We propose a methodology for a novel type of discourse annotation whose model is tuned to the analysis of a text as narrative. This is intended to be the basis of a "story ba...
David K. Elson, Kathleen McKeown
MIR
2005
ACM
198views Multimedia» more  MIR 2005»
15 years 5 months ago
Semi-automatic video annotation based on active learning with multiple complementary predictors
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
Yan Song, Xian-Sheng Hua, Li-Rong Dai, Meng Wang