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» Learning with Few Examples by Transferring Feature Relevance
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AAAI
2004
14 years 11 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu
EXPERT
2008
120views more  EXPERT 2008»
14 years 9 months ago
The CKC Challenge: Exploring Tools for Collaborative Knowledge Construction
The great success of Web 2.0 is mainly fuelled by an infrastructure that allows web users to create, share, tag, and connect content and knowledge easily. The tools for developing...
Natalya Fridman Noy, Abhita Chugh, Harith Alani
CIVR
2010
Springer
276views Image Analysis» more  CIVR 2010»
15 years 2 months ago
Optimizing visual search with implicit user feedback in interactive video retrieval
This paper describes an approach to optimize query by visual example results, by combining visual features and implicit user feedback in interactive video retrieval. To this end, ...
Stefanos Vrochidis, Ioannis Kompatsiaris, Ioannis ...
WWW
2006
ACM
15 years 10 months ago
Finding advertising keywords on web pages
A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and this is a substantial source of rev...
Wen-tau Yih, Joshua Goodman, Vitor R. Carvalho
CANDC
2007
ACM
15 years 1 months ago
Performative roles of materiality for collective creativity
This paper seeks to develop a better understanding of the contribution of materiality for creativity in collaborative settings, exploring the ways in which it provides resources f...
Giulio Jacucci, Ina Wagner