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117
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IJON
2010
189views more  IJON 2010»
14 years 11 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 10 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone
FGR
2011
IEEE
263views Biometrics» more  FGR 2011»
14 years 4 months ago
Exploiting long-term observations for track creation and deletion in online multi-face tracking
— In many visual multi-object tracking applications, the question when to add or remove a target is not trivial due to, for example, erroneous outputs of object detectors or obse...
Stefan Duffner, Jean-Marc Odobez
CIKM
2011
Springer
14 years 21 days ago
Estimating selectivity for joined RDF triple patterns
A fundamental problem related to RDF query processing is selectivity estimation, which is crucial to query optimization for determining a join order of RDF triple patterns. In thi...
Hai Huang 0003, Chengfei Liu
192
Voted
CVPR
2010
IEEE
13 years 10 months ago
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling
Robust tracking of abrupt motion is a challenging task in computer vision due to the large motion uncertainty. In this paper, we propose a stochastic approximation Monte Carlo (...
Xiuzhuang Zhou and Yao Lu