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» A hierarchical model of data locality
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87
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ICML
2006
IEEE
15 years 12 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
EMMCVPR
2003
Springer
15 years 4 months ago
Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach
This paper presents a novel method for surface recovery from discrete 3D point data sets. In order to produce improved reconstruction results, the algorithm presented in this paper...
Peter Savadjiev, Frank P. Ferrie, Kaleem Siddiqi
IJWMC
2006
85views more  IJWMC 2006»
14 years 11 months ago
A distributed clustering method for energy-efficient data gathering in sensor networks
: Since sensor nodes operate on batteries, energy-efficient mechanisms for gathering sensor data are indispensable in prolonging the lifetime of a sensor network as long as possibl...
Junpei Kamimura, Naoki Wakamiya, Masayuki Murata
107
Voted
ISVC
2009
Springer
15 years 5 months ago
Parallel 3D Image Segmentation of Large Data Sets on a GPU Cluster
In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Aaron Hagan, Ye Zhao
TNN
2008
129views more  TNN 2008»
14 years 11 months ago
Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point
In this paper, a new kernel-based method for data visualization and dimensionality reduction is proposed. A reference point is considered corresponding to additional constraints ta...
Johan A. K. Suykens