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ICDAR
2003
IEEE
14 years 2 months ago
A Low-Cost Parallel K-Means VQ Algorithm Using Cluster Computing
In this paper we propose a parallel approach for the Kmeans Vector Quantization (VQ) algorithm used in a twostage Hidden Markov Model (HMM)-based system for recognizing handwritte...
Alceu de Souza Britto Jr., Paulo Sergio Lopes de S...
PDP
2003
IEEE
14 years 2 months ago
An XML based framework for self-describing parallel I/O data
File I/O data is interpreted by high performance parallel/distributed applications mostly as a sequence of arbitrary bits. This leads to the situation where data is ’volatile’...
András Belokosztolszki, Erich Schikuta
SC
1995
ACM
14 years 14 days ago
Performance of a Parallel Global Atmospheric Chemical Tracer Model
As part of a NASA HPCC Grand Challenge project, we are designing and implementing a parallel atmospheric chemical tracer model that will be suitable for use in global simulations....
James Demmel, Sharon Smith
PDCN
2004
13 years 10 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...
HPDC
2010
IEEE
13 years 9 months ago
Parallel processing of data from very large-scale wireless sensor networks
In this paper we explore the problems of storing and reasoning about data collected from very large-scale wireless sensor networks (WSNs). Potential worldwide deployment of WSNs f...
Christine Jardak, Janne Riihijärvi, Frank Old...