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KES
2010
Springer
15 years 4 months ago
W-kmeans: Clustering News Articles Using WordNet
 Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
Christos Bouras, Vassilis Tsogkas
ERCIMDL
2003
Springer
109views Education» more  ERCIMDL 2003»
15 years 11 months ago
Clustering Top-Ranking Sentences for Information Access
Abstract. In this paper we propose the clustering of top-ranking sentences (TRS) for effective information access. Top-ranking sentences are selected by a query-biased sentence ex...
Anastasios Tombros, Joemon M. Jose, Ian Ruthven
ACL
2008
15 years 7 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...
IROS
2006
IEEE
134views Robotics» more  IROS 2006»
16 years 4 days ago
A Novel Self Organizing Network to Perform Fast Moving Object Extraction from Video Streams
— Image segmentation is a critical task in computer vision. In the context of motion detection, a very popular segmentation approach is background substraction which consists in ...
Dizan Vasquez, Thierry Fraichard
ICDAR
2011
IEEE
14 years 5 months ago
A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images
—In this paper, a novel Chinese character localization method is proposed for texts in advertising images. To deal with the texts with gradient color, a color clustering method b...
Jie Liu, Shuwu Zhang, Heping Li, Wei Liang