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» Learning to Segment Document Images
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ISBI
2007
IEEE
14 years 3 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
PAMI
2010
207views more  PAMI 2010»
13 years 3 months ago
Document Ink Bleed-Through Removal with Two Hidden Markov Random Fields and a Single Observation Field
We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Christian Wolf
MM
2003
ACM
131views Multimedia» more  MM 2003»
14 years 2 months ago
Enhancing web accessibility
This demonstration will illustrate the key technical and user interface aspects of the Web Adaptation Technology. Various transformations underlying the system will be shown that ...
Alison Lee, Vicki L. Hanson
IJDAR
2008
92views more  IJDAR 2008»
13 years 8 months ago
Optical recognition of psaltic Byzantine chant notation
Abstract This paper describes a document recognition system for the modern neume based notation of Byzantine music. We propose algorithms for page segmentation, lyrics removal, syn...
Christoph Dalitz, Georgios K. Michalakis, Christin...
CVPR
2005
IEEE
13 years 10 months ago
Database-Guided Segmentation of Anatomical Structures with Complex Appearance
The segmentation of anatomical structures has been traditionally formulated as a perceptual grouping task, and solved through clustering and variational approaches. However, such ...
Bogdan Georgescu, Xiang Sean Zhou, Dorin Comaniciu...