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AIPR
2005
IEEE
15 years 10 months ago
Hierarchical Bayesian Algorithm for Diffuse Optical Tomography
Diffuse Optical Tomography (DOT) poses a typical illposed inverse problem with limited number of measurements and inherently low spatial resolution. In this paper, we propose a hi...
Murat Guven, Birsen Yazici, Xavier Intes, Britton ...
IGPL
2011
14 years 11 months ago
A new clustering algorithm applying a hierarchical method neural network
Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many ...
Javier Bajo, Juan Francisco de Paz, Sara Rodr&iacu...
HPCC
2007
Springer
15 years 10 months ago
An Adaptive Parallel Hierarchical Clustering Algorithm
Clustering of data has numerous applications and has been studied extensively. It is very important in Bioinformatics and data mining. Though many parallel algorithms have been des...
Zhaopeng Li, Kenli Li, Degui Xiao, Lei Yang
3DPVT
2006
IEEE
147views Visualization» more  3DPVT 2006»
15 years 10 months ago
Efficient Constraint Evaluation Algorithms for Hierarchical Next-Best-View Planning
We recently proposed a new and efficient next-bestview algorithm for 3D reconstruction of indoor scenes using active range sensing. We overcome the computation difficulty of evalu...
Kok-Lim Low, Anselmo Lastra
ASPDAC
2004
ACM
145views Hardware» more  ASPDAC 2004»
15 years 9 months ago
Hierarchical random-walk algorithms for power grid analysis
Abstract— This paper presents a power grid analyzer that combines a divide-and-conquer strategy with a random-walk engine. A single-level hierarchical method is first described ...
Haifeng Qian, Sachin S. Sapatnekar