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ICDE
2010
IEEE
222views Database» more  ICDE 2010»
14 years 10 months ago
Finding Clusters in subspaces of very large, multi-dimensional datasets
Abstract— We propose the Multi-resolution Correlation Cluster detection (MrCC), a novel, scalable method to detect correlation clusters able to analyze dimensional data in the ra...
Robson Leonardo Ferreira Cordeiro, Agma J. M. Trai...
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
15 years 6 months ago
Distributed motion constraints for algebraic connectivity of robotic networks
— This paper studies connectivity maintenance of robotic networks that communicate at discrete times and move in continuous space. We propose a distributed algorithm that allows ...
Michael Schuresko, Jorge Cortés
ECCV
2010
Springer
15 years 5 months ago
Single Image Deblurring Using Motion Density Functions
Abstract. We present a novel single image deblurring method to estimate spatially non-uniform blur that results from camera shake. We use existing spatially invariant deconvolution...
ICRA
2003
IEEE
119views Robotics» more  ICRA 2003»
15 years 5 months ago
HPRM: a hierarchical PRM
— We introduce a hierarchical variant of the probabilistic roadmap method for motion planning. By recursively refining an initially sparse sampling in neighborhoods of the C-obs...
Anne D. Collins, Pankaj K. Agarwal, John Harer
CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 11 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...