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» A Statistical Learning Approach To Document Image Analysis
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ICDAR
2009
IEEE
15 years 6 months ago
Handwritten Text Line Segmentation by Shredding Text into its Lines
In this paper, we propose a novel technique to segment handwritten document images into text lines by shredding their surface with local minima tracers. Our approach is based on t...
Anguelos Nicolaou, Basilios Gatos
ICDAR
2011
IEEE
13 years 11 months ago
Super-Resolved Binarization of Text Based on the FAIR Algorithm
—In this paper, we present a novel approach for super-resolved binarization of document images acquired by low quality devices. The algorithm tries to compute the super resolutio...
Thibault Lelore, Frédéric Bouchara
ICDE
2000
IEEE
189views Database» more  ICDE 2000»
16 years 1 months ago
Image Database Retrieval with Multiple-Instance Learning Techniques
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...
Cheng Yang, Tomás Lozano-Pérez
DRR
2009
14 years 9 months ago
Figure content analysis for improved biomedical article retrieval
Biomedical images are invaluable in medical education and establishing clinical diagnosis. Clinical decision support (CDS) can be improved by combining biomedical text with automa...
Daekeun You, Emilia Apostolova, Sameer Antani, Din...
ICPR
2006
IEEE
15 years 5 months ago
Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis
In this paper, we address the pre-image problem in kernel principal component analysis (KPCA). The preimage problem finds a pattern as the pre-image of a feature vector defined in...
Weishi Zheng, Jian-Huang Lai