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ICDAR
2007
IEEE
16 years 18 days ago
An Efficient Word Segmentation Technique for Historical and Degraded Machine-Printed Documents
Word segmentation is a crucial step for segmentation-free document analysis systems and is used for creating an index based on word matching. In this paper, we propose a novel met...
Michael Makridis, N. Nikolaou, Basilios Gatos
ICDAR
2003
IEEE
15 years 11 months ago
Word Segmentation of Handwritten Dates in Historical Documents by Combining Semantic A-Priori-Knowledge with Local Features
The recognition of script in historical documents requires suitable techniques in order to identify single words. Segmentation of lines and words is a challenging task because lin...
Markus Feldbach, Klaus D. Tönnies
CIKM
2007
Springer
16 years 13 days ago
Regularized locality preserving indexing via spectral regression
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He, Wei Vivian Zhang, Jiawei Han
KDD
2009
ACM
611views Data Mining» more  KDD 2009»
16 years 6 months ago
Fast approximate spectral clustering
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
Donghui Yan, Ling Huang, Michael I. Jordan
ICDAR
2009
IEEE
16 years 1 months ago
Segmentation of Arabic Handwriting Based on both Contour and Skeleton Segmentation
We propose a new algorithm for segmentation of off-line handwritten Arabic words. The algorithm segments the connected letters to smaller segments each of which contains no more t...
Safwan Wshah, Zhixin Shi, Venu Govindaraju