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GLVLSI
2006
IEEE
90views VLSI» more  GLVLSI 2006»
15 years 3 months ago
Low-power clustering with minimum logic replication for coarse-grained, antifuse based FPGAs
This paper presents a minimum area, low-power driven clustering algorithm for coarse-grained, antifuse-based FPGAs under delay constraints. The algorithm accurately predicts logic...
Chang Woo Kang, Massoud Pedram
CIC
2006
156views Communications» more  CIC 2006»
14 years 11 months ago
The Impact of Clustering in Distributed Topology Control
Abstract-- Topology control is the problem of assigning power levels to the nodes of an ad hoc network so as to maintain a specified network topology while minimizing energy consum...
Liang Zhao, Errol L. Lloyd
BIRTHDAY
1997
Springer
15 years 1 months ago
Controlled Fuzzy Parallel Rewriting
We study a Lindenmayer-like parallel rewriting system to model the growth of filaments (arrays of cells) in which developmental errors may occur. In essence this model is the fuzz...
Peter R. J. Asveld
CVPR
2008
IEEE
15 years 11 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ALGORITHMICA
2005
108views more  ALGORITHMICA 2005»
14 years 9 months ago
How Fast Is the k-Means Method?
We present polynomial upper and lower bounds on the number of iterations performed by the k-means method (a.k.a. Lloyd's method) for k-means clustering. Our upper bounds are ...
Sariel Har-Peled, Bardia Sadri