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BMVC
2010
15 years 1 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ACCV
2010
Springer
14 years 10 months ago
Pedestrian Recognition with a Learned Metric
This paper presents a new method for viewpoint invariant pedestrian recognition problem. We use a metric learning framework to obtain a robust metric for large margin nearest neigh...
Mert Dikmen, Emre Akbas, Thomas S. Huang, Narendra...
117
Voted
ICALT
2007
IEEE
15 years 5 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...
135
Voted
VR
2008
IEEE
180views Virtual Reality» more  VR 2008»
15 years 3 months ago
Transfer of learning in virtual environments: a new challenge?
: The aim of all education is to apply what we learn in different contexts and to recognise and extend this learning to new situations. Virtual learning environments can used to bu...
Cyril Bossard, Gilles Kermarrec, Cédric Buc...
150
Voted
CVPR
2005
IEEE
16 years 5 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman