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» Hierarchical RBF networks and local parameters estimate
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EMMCVPR
2001
Springer
14 years 1 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
ICAPR
2005
Springer
14 years 2 months ago
Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints
Abstract. This paper addresses the clustering problem of hidden dynamical systems behind observed multivariate sequences by assuming an interval-based temporal structure in the seq...
Hiroaki Kawashima, Takashi Matsuyama
NETWORKING
2007
13 years 10 months ago
Localization for Large-Scale Underwater Sensor Networks
Abstract. In this paper, we study the localization problem in large-scale underwater sensor networks. The adverse aqueous environments, the node mobility, and the large network sca...
Zhong Zhou, Jun-Hong Cui, Shengli Zhou
ICANN
2007
Springer
14 years 2 months ago
Deformable Radial Basis Functions
Radial basis function networks (RBF) are efficient general function approximators. They show good generalization performance and they are easy to train. Due to theoretical consider...
Wolfgang Hübner, Hanspeter A. Mallot
INFOCOM
2008
IEEE
14 years 3 months ago
Scalable Localization with Mobility Prediction for Underwater Sensor Networks
—Due to adverse aqueous environments, non-negligible node mobility and large network scale, localization for large-scale mobile underwater sensor networks is very challenging. In...
Zhong Zhou, Jun-Hong Cui, Amvrossios Bagtzoglou