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ICDAR
2011
IEEE
13 years 9 months ago
Graph Clustering-Based Ensemble Method for Handwritten Text Line Segmentation
—Handwritten text line segmentation on real-world data presents significant challenges that cannot be overcome by any single technique. Given the diversity of approaches and the...
Vasant Manohar, Shiv Naga Prasad Vitaladevuni, Hua...
CVPR
2007
IEEE
15 years 12 months ago
A Topological Approach to Hierarchical Segmentation using Mean Shift
Mean shift is a popular method to segment images and videos. Pixels are represented by feature points, and the segmentation is driven by the point density in feature space. In thi...
Frédo Durand, Sylvain Paris
CVPR
2003
IEEE
15 years 12 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
ICDAR
2009
IEEE
14 years 7 months ago
Document Content Extraction Using Automatically Discovered Features
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...
Sui-Yu Wang, Henry S. Baird, Chang An
DAGM
1998
Springer
15 years 2 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann