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» The Dark Side of Object Learning: Learning Objects
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WWW
2008
ACM
14 years 8 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
AIED
2007
Springer
14 years 1 months ago
Taking advantage of the Semantics of a Lesson Graph based on Learning Objects
Lesson graphs are composed of Learning Objects (LOs) and include a valuable amount of information about the content and usage of the LOs, described by the LO metadata. Graphs also ...
Olivier Motelet, Nelson Baloian, Benjamin Piwowars...
WACV
2005
IEEE
14 years 1 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
ECCV
2010
Springer
13 years 8 months ago
Object of Interest Detection by Saliency Learning
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
CE
2008
65views more  CE 2008»
13 years 7 months ago
Learning object design considerations for small-screen handheld devices
The key limitation of handheld technology for the delivery of learning objects is the small screen that is available for effective display. The smallness of the screen not only ad...
Daniel Churchill, John Hedberg