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ICCV
2007
IEEE
14 years 9 months ago
Objects in Context
In the task of visual object categorization, semantic context can play the very important role of reducing ambiguity in objects' visual appearance. In this work we propose to...
Andrew Rabinovich, Andrea Vedaldi, Carolina Galleg...
JMLR
2010
140views more  JMLR 2010»
13 years 2 months ago
Learning From Crowds
For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels fro...
Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, Gerard...
VRST
2006
ACM
14 years 1 months ago
Interactive modelling and tracking for mixed and augmented reality
Some tasks vital to many mixed and augmented reality systems are either too time consuming or complex to be carried out whilst the system is active. 3D scene modelling and labelli...
R. Freeman, A. Steed
ECCV
2004
Springer
14 years 9 months ago
Tracking Aspects of the Foreground against the Background
In object tracking, change of object aspect is a cause of failure due to significant changes of object appearances. The paper proposes an approach to this problem without a priori ...
Hieu Tat Nguyen, Arnold W. M. Smeulders
ICML
2010
IEEE
13 years 8 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum