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NIPS
2004
14 years 11 months ago
Hierarchical Bayesian Inference in Networks of Spiking Neurons
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
Rajesh P. N. Rao
CDC
2010
IEEE
182views Control Systems» more  CDC 2010»
14 years 4 months ago
Hierarchical model predictive control for resource distribution
This paper deals with hierarchical model predictive control (MPC) of distributed systems. A threelevel hierarchical approach is proposed, consisting of a high level MPC controller,...
Jan Dimon Bendtsen, Klaus Trangbaek, Jakob Stoustr...
CVPR
2008
IEEE
15 years 11 months ago
Hierarchical, learning-based automatic liver segmentation
In this paper we present a hierarchical, learning-based approach for automatic and accurate liver segmentation from 3D CT volumes. We target CT volumes that come from largely dive...
Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bog...
WWW
2007
ACM
15 years 10 months ago
Image annotation by hierarchical mapping of features
In this paper, we propose a novel approach of image annotation by constructing a hierarchical mapping between lowlevel visual features and text features utilizing the relations wi...
Qiankun Zhao, Prasenjit Mitra, C. Lee Giles
SOFSEM
2007
Springer
15 years 3 months ago
Straightening Drawings of Clustered Hierarchical Graphs
In this paper we deal with making drawings of clustered hierarchical graphs nicer. Given a planar graph G = (V, E) with an assignment of the vertices to horizontal layers, a plane ...
Sergey Bereg, Markus Völker, Alexander Wolff,...