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» Evaluation of text clustering methods using wordnet
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ICPR
2002
IEEE
15 years 10 months ago
Word Segmentation of Printed Text Lines Based on Gap Clustering and Special Symbol Detection
This paper proposes a word segmentation method for machine-printed text lines. It utilizes gaps and special symbols as delimiters between words. A gap clustering technique is used...
Soo-Hyung Kim, Chang Bu Jeong, Hee K. Kwag, Ching ...
102
Voted
ICDAR
2009
IEEE
15 years 4 months ago
Scene Text Extraction Using Focus of Mobile Camera
Robust extraction of text from scene images is essential for successful scene text recognition. Scene images usually have non-uniform illumination, complex background, and existen...
Egyul Kim, SeongHun Lee, JinHyung Kim
92
Voted
WISE
2009
Springer
15 years 4 months ago
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
Results clustering in Web Searching is useful for providing users with overviews of the results and thus allowing them to restrict their focus to the desired parts. However, the ta...
Stella Kopidaki, Panagiotis Papadakos, Yannis Tzit...
ISMIS
2011
Springer
14 years 12 days ago
Evaluation of Feature Combination Approaches for Text Categorisation
Text categorisation relies heavily on feature selection. Both the possible reduction in dimensionality as well as improvements in classification performance are highly desirable. ...
Robert Neumayer, Kjetil Nørvåg
LREC
2008
130views Education» more  LREC 2008»
14 years 11 months ago
Encoding Terms from a Scientific Domain in a Terminological Database: Methodology and Criteria
This paper reports on the main phases of a research which aims at enhancing a maritime terminological database by means of a set of terms belonging to meteorology. The structure o...
Rita Marinelli, Melissa Tiberi, Remo Bindi