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» SVM Based Learning System for Information Extraction
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ACSC
2000
IEEE
15 years 10 months ago
Building Hybrid Knowledge Representations from Text
A significant obstacle to the development of intelligent natural language processing systems is the lack of rich knowledge bases containing representations of world knowledge. Fo...
Josef Meyer, Robert Dale
ECCV
2010
Springer
15 years 11 months ago
Learning to Detect Roads in High-Resolution Aerial Images
Abstract. Reliably extracting information from aerial imagery is a difficult problem with many practical applications. One specific case of this problem is the task of automatica...
205
Voted
CORR
2012
Springer
183views Education» more  CORR 2012»
14 years 1 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
157
Voted
ICML
1999
IEEE
15 years 10 months ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
ESWA
2008
173views more  ESWA 2008»
15 years 6 months ago
Image semantics discovery from web pages for semantic-based image retrieval using self-organizing maps
Traditional content-based image retrieval (CBIR) systems often fail to meet a user's need due to the `semantic gap' between the extracted features of the systems and the...
Hsin-Chang Yang, Chung-Hong Lee