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» A Statistical Learning Approach To Document Image Analysis
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ICDAR
2009
IEEE
14 years 2 months ago
Finding Images and Line-Drawings in Document-Scanning Systems
The system presented in this paper finds images and line-drawings in scanned pages; it is a crucial processing step in the creation of a large-scale system to detect and index ima...
Shumeet Baluja, Michele Covell
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
13 years 11 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
ICDAR
2009
IEEE
13 years 5 months ago
Clutter Noise Removal in Binary Document Images
The paper presents a clutter detection and removal algorithm for complex document images. The distance transform based approach is independent of clutter's position, size, sh...
Mudit Agrawal, David S. Doermann
CVPR
2000
IEEE
14 years 9 months ago
Statistical cues for Domain Specific Image Segmentation with Performance Analysis
This paper investigates the use of colour and texture cues for segmentation of images within two specified domains. The first is the Sowerby dataset, which contains one hundred co...
Scott Konishi, Alan L. Yuille
ICML
2005
IEEE
14 years 8 months ago
Statistical and computational analysis of locality preserving projection
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
Xiaofei He, Deng Cai, Wanli Min