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» Dynamic Cluster Formation Using Level Set Methods
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PAKDD
2005
ACM
142views Data Mining» more  PAKDD 2005»
13 years 9 months ago
Dynamic Cluster Formation Using Level Set Methods
Density-based clustering has the advantages for (i) allowing arbitrary shape of cluster and (ii) not requiring the number of clusters as input. However, when clusters touch each o...
Andy M. Yip, Chris H. Q. Ding, Tony F. Chan
ICIP
2008
IEEE
13 years 10 months ago
Level set tracking with dynamical shape priors
Dynamical shape priors are curical for level set-based nonrigid object tracking with noise, occlusions or background clutter. In this paper, we propose a level set tracking framew...
Xue Zhou, Xi Li, Weiming Hu
ECAL
2005
Springer
13 years 10 months ago
On Convergence of Dynamic Cluster Formation in Multi-agent Networks
Efficient hierarchical architectures for reconfigurable and adaptive multi-agent networks require dynamic cluster formation among the set of nodes (agents). In the absence of cen...
Mikhail Prokopenko, Piraveenan Mahendra rajah, Pet...
ISBI
2004
IEEE
14 years 5 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
ICRA
2008
IEEE
297views Robotics» more  ICRA 2008»
13 years 10 months ago
Fast 3D reconstruction of human shape and motion tracking by parallel fast level set method
— This paper presents a parallel algorithm of the Level Set Method named the Parallel Fast Level Set Method, and its application for real-time 3D reconstruction of human shape an...
Yumi Iwashita, Ryo Kurazume, Kenji Hara, Seiichi U...