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» The Dark Side of Object Learning: Learning Objects
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TNN
2008
178views more  TNN 2008»
13 years 7 months 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
ITCC
2005
IEEE
14 years 1 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...
ECTEL
2007
Springer
14 years 1 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
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 2 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
14 years 1 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...