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BMVC
1998
14 years 11 months ago
Learning Enhanced 3D Models for Vehicle Tracking
This paper presents an enhanced hypothesis verification strategy for 3D object recognition. A new learning methodology is presented which integrates the traditional dichotomic obj...
James M. Ferryman, Anthony D. Worrall, Stephen J. ...
UAI
1998
14 years 11 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
IJCV
2008
266views more  IJCV 2008»
14 years 10 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
CE
2007
93views more  CE 2007»
14 years 10 months ago
Web3D technologies in learning, education and training
Web3D open standards allow the delivery of interactive 3D virtual learning environments through the Internet, reaching potentially large numbers of learners worldwide, at any time...
Luca Chittaro, Roberto Ranon
IJIM
2007
174views more  IJIM 2007»
14 years 10 months ago
Contextual Mobile Learning: A Step Further to Mastering Professional Appliances
—In this paper we describe our approach whose objective is to apply MOCOCO concepts to e-learning. After a short presentation of MOCOCO (Mobility, COoperation, Contextua-lisation...
Bertrand T. David, René Chalon, Olivier Cha...