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CGF
2010
171views more  CGF 2010»
15 years 3 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
WEBDB
2007
Springer
159views Database» more  WEBDB 2007»
16 years 21 days ago
A clustering-based sampling approach for refreshing search engine's database
Due to resource constraints, search engines usually have difficulties keeping the local database completely synchronized with the Web. To detect as many changes as possible, the ...
Qingzhao Tan, Ziming Zhuang, Prasenjit Mitra, C. L...
202
Voted
PAMI
2007
202views more  PAMI 2007»
15 years 6 months ago
Weighted Graph Cuts without Eigenvectors A Multilevel Approach
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
WIMOB
2008
IEEE
16 years 29 days ago
A Moderate to Robust Game Theoretical Model for Intrusion Detection in MANETs
—One popular solution for reducing the resource consumption of Intrusion Detection System (IDS) in MANET is to elect a head-cluster (leader) to provide intrusion detection servic...
Hadi Otrok, Noman Mohammed, Lingyu Wang, Mourad De...
IPSN
2007
Springer
16 years 22 days ago
Robust system multiangulation using subspace methods
Sensor location information is a prerequisite to the utility of most sensor networks. In this paper we present a robust and low-complexity algorithm to self-localize and orient se...
Joshua N. Ash, Lee C. Potter