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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
14 years 11 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
SIGMOD
2003
ACM
237views Database» more  SIGMOD 2003»
14 years 11 months ago
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...
Deok-Hwan Kim, Chin-Wan Chung
CCGRID
2007
IEEE
14 years 5 months ago
Impact of Adaptive Resource Allocation Requests in Utility Cluster Computing Environments
Maximizing resource provider profit and satisfying user requirements at the same time is a challenging problem in utility computing environments. In this paper, we introduce adap...
Marco Aurélio Stelmar Netto, Rajkumar Buyya
ASIAN
2005
Springer
150views Algorithms» more  ASIAN 2005»
14 years 4 months ago
ACB-R: An Adaptive Clustering-Based Data Replication Algorithm on a P2P Data-Store
Replication on geographically distributed, unreliable, P2P interconnecting nodes can offer high data availability and low network latency for replica access. The challenge is how ...
Junhu Zhang, Dongqing Yang, Shiwei Tang
ICIP
1998
IEEE
15 years 16 days ago
Adaptive Key Frame Extraction using Unsupervised Clustering
Key frame extraction has been recognized as one of the important research issues in video information retrieval. Although progress has been made in key frame extraction, the exist...
Yueting Zhuang, Yong Rui, Thomas S. Huang, Sharad ...