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» Adaptive K-Means Clustering
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HPDC
2006
IEEE
15 years 3 months ago
Improving I/O Performance of Clustered Storage Systems by Adaptive Request Distribution
We develop an adaptive load distribution protocol for logical volume I/O workload in clustered storage systems. It exploits data redundancy among decentralized storage servers to ...
Changxun Wu, Randal C. Burns
TASLP
2008
120views more  TASLP 2008»
14 years 9 months ago
Rapid Speaker Adaptation Using Clustered Maximum-Likelihood Linear Basis With Sparse Training Data
Abstract-- Speaker space based adaptation methods for automatic speech recognition have been shown to provide significant performance improvements for tasks where only a few second...
Yun Tang, Richard Rose
EMMCVPR
2007
Springer
15 years 3 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 2 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
CEE
2011
106views more  CEE 2011»
14 years 1 months ago
LLACA: An adaptive localized clustering algorithm for wireless ad hoc networks
  Performance  of  ad  hoc  networks  dramatically  declines  as  network  grows.  Cluster  formation  in  which  the  network  hosts  are  hierarchically  part...
Javad Akbari Torkestani, Mohammad Reza Meybodi