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» Challenges from Information Extraction to Information Fusion
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CVPR
2008
IEEE
16 years 2 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
DRR
2008
15 years 2 months ago
Hybrid approach combining contextual and statistical information for identifying MEDLINE citation terms
There is a strong demand for developing automated tools for extracting pertinent information from the biomedical literature that is a rich, complex, and dramatically growing resou...
In-Cheol Kim, Daniel X. Le, George R. Thoma
ACL
1998
15 years 1 months ago
Information Classification and Navigation Based on 5W1H of the Target Information
This paper proposes a method by which 5WlH (who, when, where, what, why, how, and predicate) information is used to classify and navigate Japaneselanguage texts. 5WlH information,...
Takahiro Ikeda, Akitoshi Okumura, Kazunori Muraki
AAAI
2000
15 years 1 months ago
A Mutually Beneficial Integration of Data Mining and Information Extraction
Text mining concerns applying data mining techniques to unstructured text. Information extraction (IE) is a form of shallow text understanding that locates specific pieces of data...
Un Yong Nahm, Raymond J. Mooney
CISS
2010
IEEE
14 years 4 months ago
Average case analysis of sparse recovery from combined fusion frame measurements
—Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compr...
Petros Boufounos, Gitta Kutyniok, Holger Rauhut