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» Learning Classifiers from Semantically Heterogeneous Data
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SIGKDD
2000
237views more  SIGKDD 2000»
13 years 8 months ago
The UCI KDD Archive of Large Data Sets for Data Mining Research and Experimentation
Advances in data collection and storage have allowed organizations to create massive, complex and heterogeneous databases, which have stymied traditional methods of data analysis....
Stephen D. Bay, Dennis F. Kibler, Michael J. Pazza...
SEMWEB
2009
Springer
14 years 3 months ago
Live Social Semantics
Abstract. Social interactions are one of the key factors to the success of conferences and similar community gatherings. This paper describes a novel application that integrates da...
Harith Alani, Martin Szomszor, Ciro Cattuto, Woute...
TASLP
2008
98views more  TASLP 2008»
13 years 8 months ago
An Integrative and Discriminative Technique for Spoken Utterance Classification
Abstract-- Traditional methods of spoken utterance classification (SUC) adopt two independently trained phases. In the first phase, an automatic speech recognition (ASR) module ret...
Sibel Yaman, Li Deng, Dong Yu, Ye-Yi Wang, Alex Ac...
CIVR
2005
Springer
165views Image Analysis» more  CIVR 2005»
13 years 11 months ago
The Use and Utility of High-Level Semantic Features in Video Retrieval
Abstract. This paper investigates the applicability of high-level semantic features for video retrieval using the benchmarked data from TRECVID 2003 and 2004, addressing the contri...
Michael G. Christel, Alexander G. Hauptmann
ICCNMC
2005
Springer
14 years 2 months ago
Semantic Sensor Net: An Extensible Framework
Existing approaches for sensor networks suffer from a number of critical drawbacks. First, homogeneous deployments have been commonly assumed, but in practice multiple deployments ...
Lionel M. Ni, Yanmin Zhu, Jian Ma, Minglu Li, Qion...