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IJCNLP
2005
Springer
14 years 1 months ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
BILDMED
2008
138views Algorithms» more  BILDMED 2008»
13 years 10 months ago
Level Set Segmentation of Lumbar Vertebrae Using Appearance Models
For the planning of surgical interventions of the spine exact knowledge about 3D shape and the local bone quality of vertebrae are of great importance in order to estimate the anch...
Karl D. Fritscher, Stefan Leber, Werner Schmö...
ICIP
2007
IEEE
14 years 10 months ago
Video Segmentation and Semantics Extraction from the Fusion of Motion and Color Information
In recent years, digital multimedia technologies have evolved significantly, and are finding numerous applications, over the internet, and even over mobile networks. Thus, the vid...
Alexia Briassouli, Vasileios Mezaris, Ioannis Komp...
MICCAI
2009
Springer
14 years 9 months ago
Depth Data Improves Skin Lesion Segmentation
This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A regionbased active contour segmentation ...
Xiang Li, Ben Aldridge, Lucia Ballerini, Robert B....
PAMI
2002
108views more  PAMI 2002»
13 years 8 months ago
Approximate Bayes Factors for Image Segmentation: The Pseudolikelihood Information Criterion (PLIC)
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
Derek C. Stanford, Adrian E. Raftery