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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...
ISSAC
2007
Springer
107views Mathematics» more  ISSAC 2007»
14 years 1 months ago
A disk-based parallel implementation for direct condensation of large permutation modules
Through the use of a new disk-based method for enumerating very large orbits, condensation for orbits with tens of billions of elements can be performed. The algorithm is novel in...
Eric Robinson, Jürgen Müller 0004, Gene ...
ICDAR
2003
IEEE
14 years 27 days 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...
SSD
2005
Springer
108views Database» more  SSD 2005»
14 years 1 months ago
On Trip Planning Queries in Spatial Databases
In this paper we discuss a new type of query in Spatial Databases, called the Trip Planning Query (TPQ). Given a set of points of interest P in space, where each point belongs to ...
Feifei Li, Dihan Cheng, Marios Hadjieleftheriou, G...
PDP
2008
IEEE
14 years 2 months ago
Distributed Sparse Spatial Selection Indexes
Searching for similar objects in metric-space databases can be efficiently solved by using index data structures. A number of alternative sequential indexes have been proposed in...
Veronica Gil Costa, Mauricio Marín