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» A Model for Learning the Semantics of Pictures
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2010
14 years 12 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...
75
Voted
SEMCO
2007
IEEE
15 years 3 months ago
Unrestricted Coreference: Identifying Entities and Events in OntoNotes
Most research in the field of anaphora or coreference detection has been limited to noun phrase coreference, usually on a restricted set of entities, such as ACE entities. In par...
Sameer S. Pradhan, Lance A. Ramshaw, Ralph M. Weis...
KDD
2009
ACM
257views Data Mining» more  KDD 2009»
15 years 4 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated ph...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying...
ICPR
2002
IEEE
15 years 10 months ago
Narrative Structure Analysis with Education and Training Videos for E-Learning
This paper deals with the problem of structuralizing education and training videos for high-level semantics extraction and nonlinear media presentation in e-learning applications....
Quoc Dinh Phung, Chitra Dorai, Svetha Venkatesh
DL
1999
Springer
187views Digital Library» more  DL 1999»
15 years 1 months ago
KEA: Practical Automatic Keyphrase Extraction
Keyphrases provide semantic metadata that summarize and characterize documents. This paper describes Kea, an algorithm for automatically extracting keyphrases from text. Kea ident...
Ian H. Witten, Gordon W. Paynter, Eibe Frank, Carl...