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CVPR
2007
IEEE
14 years 11 months ago
Adaptive Distance Metric Learning for Clustering
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
Jieping Ye, Zheng Zhao, Huan Liu
SIGGRAPH
1995
ACM
14 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
DEXAW
2005
IEEE
193views Database» more  DEXAW 2005»
14 years 3 months ago
Adaptive Distributed Indexing for Spatial Queries in Sensor Networks
Sensor networks have opened new horizons and opportunities for a variety of environmental monitoring, surveillance and healthcare applications. One of the major tasks of sensor ne...
Vladimir Dyo, Cecilia Mascolo
IPPS
2005
IEEE
14 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
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 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