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PERCOM
2008
ACM
14 years 9 months ago
Budget-Based Clustering with Context-awareness for Sensor Networks
As the scale of modern sensor networks continues to grow, energy consumption, scalability and routing efficiency are becoming key design challenges. Network management plays an im...
Jiaxi You, Dominik Lieckfeldt, Matthias Handy, Dir...
CBMS
2006
IEEE
14 years 4 months ago
Biomedical Ontology MeSH Improves Document Clustering Qualify on MEDLINE Articles: A Comparison Study
Document clustering has been used for better document retrieval, document browsing, and text mining. In this paper, we investigate if biomedical ontology MeSH improves the cluster...
Illhoi Yoo, Xiaohua Hu
ISPASS
2006
IEEE
14 years 4 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
MMM
2010
Springer
157views Multimedia» more  MMM 2010»
14 years 7 months ago
A Novel Trajectory Clustering Approach for Motion Segmentation
We propose a novel clustering scheme for spatio-temporal segmentation of sparse motion fields obtained from feature tracking. The approach allows for the segmentation of meaningfu...
Matthias Zeppelzauer, Maia Zaharieva, Dalibor Mitr...
CCGRID
2007
IEEE
14 years 2 months ago
STORM: An Approach to Database Storage Management in Clustered Storage Environments
Database storage management in clustered storage environments is a manual, time-consuming, and error-prone task. Such management involves regular movement of database objects acro...
Kaushik Dutta, Raju Rangaswami