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CVPR
2012
IEEE
11 years 10 months ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
EDM
2010
140views Data Mining» more  EDM 2010»
13 years 9 months ago
An Annotations Approach to Peer Tutoring
In this paper we detail a preliminary model for reasoning about annotating learning objects and intelligently showing annotations to users who will benefit from them. Student inter...
John Champaign, Robin Cohen
ICALT
2007
IEEE
13 years 9 months ago
An Ontological Approach for Semantic Learning Objects Interoperability
This paper presents a semantic-aware classification algorithm that can leverage the interoperability among semantically heterogeneous learning object repositories using different ...
Ming-Che Lee, Kun Hua Tsai, Tung Cheng Hsieh, Ti K...
ECTEL
2007
Springer
14 years 1 months ago
MACE - Enriching Architectural Learning Objects for Experience Multiplication
Education in architecture requires access to a broad range of learning materials to develop flexibility and creativity in design. The learning material is compromised of textual an...
Moritz Stefaner, Elisa Dalla Vecchia, Massimiliano...