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» Automatic recognition of reading levels from user queries
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CIKM
2009
Springer
15 years 4 months ago
Semi-supervised learning of semantic classes for query understanding: from the web and for the web
Understanding intents from search queries can improve a user’s search experience and boost a site’s advertising profits. Query tagging via statistical sequential labeling mode...
Ye-Yi Wang, Raphael Hoffmann, Xiao Li, Jakub Szyma...
ICIP
2007
IEEE
15 years 11 months ago
Unsupervised Lips Segmentation Based on ROI Optimisation and Parametric Model
Lips segmentation is a very important step in many applications such as automatic speech reading, MPEG-4 compression, special effects, facial analysis and emotion recognition. In ...
Christian Bouvier, Pierre-Yves Coulon, Xavier Mald...
CLEF
2005
Springer
15 years 3 months ago
UNED at iCLEF 2005: Automatic Highlighting of Potential Answers
In this paper, we describe UNED’s participation in the iCLEF 2005 track. We have compared two strategies for finding an answer using an interactive question answering system: i...
Víctor Peinado, Fernando López-Osten...
IPM
2008
155views more  IPM 2008»
14 years 10 months ago
Determining the informational, navigational, and transactional intent of Web queries
In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, na...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
ICPR
2006
IEEE
15 years 11 months ago
Quality-based Score Level Fusion in Multibiometric Systems
The quality of biometric samples has a significant impact on the accuracy of a matcher. Poor quality biometric samples often lead to incorrect matching results because the feature...
Anil K. Jain, Karthik Nandakumar, Sarat C. Dass, Y...