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» The Dark Side of Object Learning: Learning Objects
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HT
2005
ACM
15 years 10 months ago
Distributed, real-time computation of community preferences
We describe the integration of smart digital objects with Hebbian learning to create a distributed, real-time, scalable approach to adapting to a community's preferences. We ...
Thomas Lutkenhouse, Michael L. Nelson, Johan Bolle...
CORR
2011
Springer
211views Education» more  CORR 2011»
14 years 8 months ago
Labeling 3D scenes for Personal Assistant Robots
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
Hema Swetha Koppula, Abhishek Anand, Thorsten Joac...
I3
2007
15 years 6 months ago
Identity: How to name it, How to find it
The main objective of this work is to exploit the relationship between the information findability problem and a subject-based organization of information. Identification of a sub...
Christo Dichev, Darina Dicheva, Jan Fischer
ICML
2006
IEEE
16 years 5 months ago
A continuation method for semi-supervised SVMs
Semi-Supervised Support Vector Machines (S3 VMs) are an appealing method for using unlabeled data in classification: their objective function favors decision boundaries which do n...
Olivier Chapelle, Mingmin Chi, Alexander Zien
LAWEB
2006
IEEE
15 years 10 months ago
Recycling Course Web Pages for the Semantic Web
This work describes an approach for the semi-automatic learning object metadata markup of course’s web pages and their posterior extraction into Scorm Packages. This is identifi...
Regina Motz, Raquel Sosa, Andrea Rodríguez