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» Learning to Segment
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155
Voted
CVPR
2009
IEEE
15 years 4 months ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso
96
Voted
ICDAR
2011
IEEE
14 years 10 days ago
Wall Patch-Based Segmentation in Architectural Floorplans
Abstract—Segmentation of architectural floorplans is a challenging task, mainly because of the large variability in the notation between different plans. In general, traditional...
Lluís-Pere de las Heras, Joan Mas, Gemma S&...
131
Voted
CVPR
2012
IEEE
13 years 3 months ago
Seeded watershed cut uncertainty estimators for guided interactive segmentation
Watershed cuts are among the fastest segmentation algorithms and therefore well suited for interactive segmentation of very large 3D data sets. To minimize the number of user inte...
Christoph N. Straehle, Ullrich Köthe, Graham ...
85
Voted
ECTEL
2007
Springer
15 years 7 months ago
Lifecycle Information Management for Learning Resources and Knowledge Documents
Lifecycle information can be of great help in the retrieval, authoring and usage of both, Learning Resources and Knowledge Documents. In my PhD thesis I want to show how the differ...
Lasse Lehmann
76
Voted
ICML
2010
IEEE
15 years 1 months ago
Climbing the Tower of Babel: Unsupervised Multilingual Learning
For centuries, scholars have explored the deep links among human languages. In this paper, we present a class of probabilistic models that use these links as a form of naturally o...
Benjamin Snyder, Regina Barzilay