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» Clustering performance data efficiently at massive scales
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TKDE
2012
245views Formal Methods» more  TKDE 2012»
13 years 3 months ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung
132
Voted
HPCC
2005
Springer
15 years 6 months ago
An Energy-Efficient Uni-scheduling Based on S-MAC in Wireless Sensor Network
S-MAC is a MAC (Medium Access Control) protocol as specialized for the wireless sensor network in order to sacrifice transmission delay and extend the working life of the whole sen...
Tae-Seok Lee, Yuan Yang, Ki-Jeong Shin, Myong-Soon...
119
Voted
VTC
2010
IEEE
195views Communications» more  VTC 2010»
14 years 10 months ago
Efficiency of Distributed Compression and Its Dependence on Sensor Node Deployments
Abstract--In this paper we analyze the energy-efficiency of distributed compression and its dependence on the node deployment strategies for Wireless Sensor Networks (WSNs). Reduce...
Frank Oldewurtel, Janne Riihijärvi, Petri M&a...
111
Voted
MSS
2007
IEEE
82views Hardware» more  MSS 2007»
15 years 7 months ago
Tornado Codes for MAID Archival Storage
This paper examines the application of Tornado Codes, a class of low density parity check (LDPC) erasure codes, to archival storage systems based on massive arrays of idle disks (...
Matthew Woitaszek, Henry M. Tufo
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 10 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...