280
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Publication
This paper introduces a simple, general framework for likelihood-free Bayesian reinforcement learning, through Approximate Bayesian Computation (ABC). The main advantage is th...
330
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Publication
This paper proposes a simple linear Bayesian approach to reinforcement learning. We show that
with an appropriate basis, a Bayesian linear Gaussian model is sufficient for accurat...
198
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Publication
In this paper, we propose a fast method to recognize human actions which accounts for intra-class variability in the
way an action is performed. We propose the use of a low
dimen...
179
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Publication
Recent research in projector-camera systems has overcome
many of the obstacles to deploying and using intelligent displays for a wide range of applications. In parallel with these...
268
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WACV
2005
IEEE
12 years 9 months ago
2005
IEEE
Recent research in projector-camera systems has overcome
many of the obstacles to deploying and using intelligent displays for a wide range of applications. In parallel with these...
189
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Publication
In this paper we propose a novel approach based on multi-stage random forests to address problems faced by
traditional vessel segmentation algorithms on account of image artifacts...
155
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Publication
—Effective and fast localization of anatomical structures is a crucial first step towards automated analysis of medical
volumes. In this paper, we propose an iterative approach...
119
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Publication
In this paper, we propose a low cost, robust vision based system for
monitoring patient movements during stereotactic radiotherapy: the
Monocular Visual Patient Movement Monitori...
488
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CVPR
2013
IEEE
12 years 10 months ago
2013
IEEE
The graph Laplacian operator, which originated in spectral graph theory, is commonly used for learning applications such as spectral clustering and embedding. In this paper we expl...
331
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Publication
Existing person re-identification methods conventionally rely on labelled pairwise data to learn a task-specific distance metric for ranking. The value of unlabelled gallery instan...