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» The Dark Side of Object Learning: Learning Objects
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TNN
2008
178views more  TNN 2008»
15 years 10 days ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
96
Voted
ITCC
2005
IEEE
15 years 6 months ago
Research on DRM-Enabled Learning Objects Model
The paper mainly discusses the DRM-enabled learning object model. Firstly, it analyses the art-of-status of Intellectual Property Rights in e-learning. Secondly, according to appl...
Qingtang Liu, Zongkai Yang, Kun Yan, Jing Jin, Wan...
93
Voted
ECTEL
2007
Springer
15 years 6 months ago
Community Tools for Repurposing Learning Objects
A critical success factor for the reuse of learning objects is the ease by which they may be repurposed in order to enable reusability in a different teaching context from which th...
Chu Wang, Kate Dickens, Hugh C. Davis, Gary Wills
113
Voted
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
15 years 7 months ago
Learning 3-D object orientation from images
— We propose a learning algorithm for estimating the 3-D orientation of objects. Orientation learning is a difficult problem because the space of orientations is non-Euclidean, ...
Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng
AICT
2005
IEEE
15 years 6 months ago
A Semantic Lifecycle Approach to Learning Object Repositories
Learning Object repositories play a key role in the vision of reusable learning contents and learning designs, serving as providers for learning-oriented artefacts. Nevertheless, ...
Miguel-Ángel Sicilia, Elena García B...