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» The Dark Side of Object Learning: Learning Objects
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CVPR
2007
IEEE
14 years 9 months ago
Online Learning Asymmetric Boosted Classifiers for Object Detection
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
Minh-Tri Pham, Tat-Jen Cham
ICML
2006
IEEE
14 years 8 months ago
Combining discriminative features to infer complex trajectories
We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
David A. Ross, Simon Osindero, Richard S. Zemel
MVA
1998
154views Computer Vision» more  MVA 1998»
13 years 9 months ago
Clustering of Learning Images and Generation of Multiple Prototypes for Object Recognition
common features in all learning objects only. The In this paper, we propose two methods of clustering learning images to generate prototypes automatically for object recognition. O...
Jin Jia, Keiichi Abe
ETS
2006
IEEE
119views Hardware» more  ETS 2006»
13 years 7 months ago
An Ontology-Based Framework for Bridging Learning Design and Learning Content
The paper describes an ontology-based framework for bridging learning design and learning object content. In present solutions, researchers have proposed conceptual models and dev...
Colin Knight, Dragan Gasevic, Griff Richards
HICSS
2003
IEEE
162views Biometrics» more  HICSS 2003»
14 years 25 days ago
Decision Support Models for Composing and Navigating through e-Learning Objects
Libraries of learning objects may serve as basis for deriving course offerings that are customized to the needs of different learning communities or even individuals. Several ways...
Gerhard Knolmayer