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» Adaptive K-Means Clustering
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84
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ICMCS
2005
IEEE
117views Multimedia» more  ICMCS 2005»
15 years 3 months ago
An Adaptive Hierarchical Clustering Protocol for Multimedia Overlay Multicast Applications
Adaptive Hierarchical Clustering Algorithm (AHCA) maps a flat topology to a hierarchical tree though output trees are incontrollable and are not suitable for multimedia. PruneRel...
Cheng Peng, Qionghai Dai, Qiufeng Wu
71
Voted
SIGGRAPH
1995
ACM
15 years 1 months ago
Stochastic screening dithering with adaptive clustering
We developa clustereddithering methodthatusesstochasticscreening and is able to perform an adaptive variation of the cluster size. This makes it possible to achieve optimal rendit...
Luiz Velho, Jonas Gomes
69
Voted
IPPS
2005
IEEE
15 years 3 months ago
The SDVM - An Approach for Future Adaptive Computer Clusters
The Self Distributing Virtual Machine (SDVM) is a parallel computing machine which consists of a cluster of customary computers. The participating machines may have different comp...
Jan Haase, Frank Eschmann, Klaus Waldschmidt
ICPR
2010
IEEE
14 years 7 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
15 years 10 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu