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PDCN
2004
13 years 9 months ago
K-Means VQ algorithm using a low-cost parallel cluster computing
It is well-known that the time and memory necessary to create a codebook from large training databases have hindered the vector quantization based systems for real applications. T...
Paulo Sergio Lopes de Souza, Alceu de Souza Britto...
AUTOMATICA
2010
130views more  AUTOMATICA 2010»
13 years 7 months ago
Discrete-time dynamic average consensus
We propose a class of discrete-time dynamic average consensus algorithms that allow a group of agents to track the average of their reference inputs. The convergence results rely ...
Minghui Zhu, Sonia Martínez
ICASSP
2009
IEEE
13 years 5 months ago
Fast mean square convergence of consensus algorithms in WSNs with random topologies
The average consensus in wireless sensor networks is achieved under assumptions of symmetric or balanced topology at every time instant. However, communication and/or node failure...
Silvana Silva Pereira, Alba Pagès-Zamora
AUTOMATICA
2008
86views more  AUTOMATICA 2008»
13 years 7 months ago
Notes on averaging over acyclic digraphs and discrete coverage control
In this paper we study averaging algorithms and coverage control laws in a unified light. First, we characterize the convergence properties of averaging algorithms over acyclic di...
Chunkai Gao, Jorge Cortés, Francesco Bullo
SIAMCO
2000
117views more  SIAMCO 2000»
13 years 7 months ago
The O.D.E. Method for Convergence of Stochastic Approximation and Reinforcement Learning
It is shown here that stability of the stochastic approximation algorithm is implied by the asymptotic stability of the origin for an associated ODE. This in turn implies convergen...
Vivek S. Borkar, Sean P. Meyn