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» Generalizing Global Constraints Based on Network Flows
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ECCV
2006
Springer
16 years 3 months ago
An Integral Solution to Surface Evolution PDEs Via Geo-cuts
We introduce a new approach to modelling gradient flows of contours and surfaces. While standard variational methods (e.g. level sets) compute local interface motion in a different...
Yuri Boykov, Vladimir Kolmogorov, Daniel Cremers, ...
CDC
2009
IEEE
208views Control Systems» more  CDC 2009»
15 years 2 months ago
Sensor selection for hypothesis testing in wireless sensor networks: a Kullback-Leibler based approach
We consider the problem of selecting a subset of p out of n sensors for the purpose of event detection, in a wireless sensor network (WSN). Occurrence or not of the event of intere...
Dragana Bajovic, Bruno Sinopoli, João Xavie...
AUTOMATICA
2010
113views more  AUTOMATICA 2010»
15 years 1 months ago
Decentralized estimation and control of graph connectivity for mobile sensor networks
The ability of a robot team to reconfigure itself is useful in many applications: for metamorphic robots to change shape, for swarm motion towards a goal, for biological systems to...
Peng Yang, Randy A. Freeman, G. J. Gordon, Kevin M...
CVPR
2006
IEEE
16 years 3 months ago
Accurate Face Alignment using Shape Constrained Markov Network
In this paper, we present a shape constrained Markov network for accurate face alignment. The global face shape is defined as a set of weighted shape samples which are integrated ...
Lin Liang, Fang Wen, Ying-Qing Xu, Xiaoou Tang, He...
ISNN
2010
Springer
15 years 21 hour ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He