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» Automatic detection of interaction groups
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111
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AAAI
2010
15 years 5 months ago
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
Sumit Basu, Danyel Fisher, Steven M. Drucker, Hao ...
123
Voted
ICDAR
2007
IEEE
15 years 10 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-...
149
Voted
FIW
2003
15 years 5 months ago
Representing New Voice Services and Their Features
New voice services are investigated in the fields of Internet telephony (SIP – Session Initiation Protocol) and interactive voice systems (VoiceXML – Voice Extended Markup La...
Kenneth J. Turner
123
Voted
IVC
2002
192views more  IVC 2002»
15 years 3 months ago
Understanding visual behaviour
Modelling events is one of the key problems in dynamic scene analysis when salient and autonomous visual changes occuring in a scene need to be characterised effectively as meanin...
Shaogang Gong, Hilary Buxton
134
Voted
IUI
2010
ACM
15 years 10 months ago
From documents to tasks: deriving user tasks from document usage patterns
A typical knowledge worker is involved in multiple tasks and switches frequently between them every work day. These frequent switches become expensive because each task switch req...
Oliver Brdiczka