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» SVM Based Learning System for Information Extraction
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DAGSTUHL
2004
15 years 6 months ago
Modelling Learning Subjects as Relationships
This paper describes a novel intellectual structure for the subject space of material designed for selective autodidactic learning in a large knowledge base. This structure is base...
Martin Doerr
CVPR
2007
IEEE
15 years 11 months ago
Robust 3D Face Recognition Using Learned Visual Codebook
In this paper, we propose a novel learned visual codebook (LVC) for 3D face recognition. In our method, we first extract intrinsic discriminative information embedded in 3D faces...
Cheng Zhong, Zhenan Sun, Tieniu Tan
KCAP
2011
ACM
14 years 7 months ago
LinkedDataLens: linked data as a network of networks
With billions of assertions and counting, the Web of Data represents the largest multi-contributor interlinked knowledge base that ever existed. We present a novel framework for a...
Yolanda Gil, Paul T. Groth
ICDAR
2011
IEEE
14 years 4 months ago
Functional-Based Table Category Identification in Digital Library
– Better understanding the document logical components is crucial to many applications, e.g., document classification or data integration. As the development of digital libraries...
Seongchan Kim, Ying Liu
147
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SEMWEB
2010
Springer
15 years 2 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...