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» Towards Automatic Detection and Tracking of Topic Change
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HICSS
2005
IEEE
125views Biometrics» more  HICSS 2005»
15 years 3 months ago
Taking Topic Detection From Evaluation to Practice
Abstract— The Topic Detection and Tracking (TDT) research community investigates information retrieval methods for organizing a constantly arriving stream of news articles by the...
James Allan, Stephen M. Harding, David Fisher, Alv...
SEMWEB
2005
Springer
15 years 3 months ago
Ontology Change Detection Using a Version Log
In this article, we propose a new ontology evolution approach that combines a top-down and a bottom-up approach. This means that the manual request for changes (top-down) by the on...
Peter Plessers, Olga De Troyer
ICDAR
2007
IEEE
15 years 3 months ago
Context-Sensitive Error Correction: Using Topic Models to Improve OCR
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
Michael L. Wick, Michael G. Ross, Erik G. Learned-...
ICPR
2006
IEEE
15 years 10 months ago
Singular point detection in fingerprints using quadrant change information
Automatic localization of singular points in fingerprints is of critical importance in many algorithms. Existing methods of detecting singular points often require tedious ad-hoc ...
Andrzej Drygajlo, Krzysztof Kryszczuk
IPM
2007
115views more  IPM 2007»
14 years 9 months ago
Use of place information for improved event tracking
The main purpose of topic detection and tracking (TDT) is to detect, group, and organize newspaper articles reporting on the same event. Since an event is a reported occurrence at...
Yun Jin, Sung-Hyon Myaeng, Yuchul Jung