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CGF
2010
171views more  CGF 2010»
14 years 11 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu
PDCN
2004
15 years 3 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...
121
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SIGMOD
2004
ACM
121views Database» more  SIGMOD 2004»
16 years 2 months ago
A secure hierarchical model for sensor network
In a distributed sensor network, large number of sensors deployed which communicate among themselves to selforganize a wireless ad hoc network. We propose an energyefficient level...
Malik Ayed Tubaishat, Jian Yin, Biswajit Panja, Sa...
GCB
2007
Springer
91views Biometrics» more  GCB 2007»
15 years 8 months ago
A Study on the Empirical Support for Prior Distributions on Phylogenetic Tree Topologies
: There are several models for the evolutionary process forming a species tree. We examine the Birth-and-Death model (BDM), the Proportional-to-Distinguishable Arrangements (PDA) m...
Lin Himmelmann, Dirk Metzler
EGPGV
2004
Springer
214views Visualization» more  EGPGV 2004»
15 years 8 months ago
Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters
We describe a system for the texture-based direct volume visualization of large data sets on a PC cluster equipped with GPUs. The data is partitioned into volume bricks in object ...
Magnus Strengert, Marcelo Magallón, Daniel ...