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ICANN
2011
Springer
14 years 7 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter
132
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ACL
2008
15 years 4 months ago
Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations
Finding temporal and causal relations is crucial to understanding the semantic structure of a text. Since existing corpora provide no parallel temporal and causal annotations, we ...
Steven Bethard, James H. Martin
129
Voted
DAGM
2008
Springer
15 years 5 months ago
Learning Visual Compound Models from Parallel Image-Text Datasets
Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
136
Voted
IPPS
2000
IEEE
15 years 7 months ago
A Requirements Analysis for Parallel KDD Systems
Abstract. The current generation of data mining tools have limited capacity and performance, since these tools tend to be sequential. This paper explores a migration path out of th...
William Maniatty, Mohammed Javeed Zaki
113
Voted
HICSS
2008
IEEE
124views Biometrics» more  HICSS 2008»
15 years 10 months ago
Learning Object Development and Repository Design for Digital Government Instruction
As the field of e-government expands and grows, the number of academic courses, professional workshops, online courses, and continuing education opportunities in this field also i...
Nathan Botts, Benjamin L. Schooley, Thomas A. Hora...