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140
Voted
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 4 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf
123
Voted
KDD
2002
ACM
155views Data Mining» more  KDD 2002»
16 years 4 months ago
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
We propose a new clustering algorithm, called SyMP, which is based on synchronization of pulse-coupled oscillators. SyMP represents each data point by an Integrate-and-Fire oscill...
Hichem Frigui
144
Voted
RECOMB
2007
Springer
16 years 4 months ago
Framework for Identifying Common Aberrations in DNA Copy Number Data
High-resolution array comparative genomic hybridization (aCGH) provides exon-level mapping of DNA aberrations in cells or tissues. Such aberrations are central to carcinogenesis an...
Amir Ben-Dor, Doron Lipson, Anya Tsalenko, Mark Re...
144
Voted
IROS
2008
IEEE
148views Robotics» more  IROS 2008»
15 years 10 months ago
Identifying a moving object with an accelerometer in a camera view
— This paper proposes a method for identifying an object which contains an accelerometer out of many moving objects in the view of a stationary camera using motion data obtained ...
Osamu Shigeta, Shingo Kagami, Koichi Hashimoto
135
Voted
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
15 years 10 months ago
TagFree: Identifying users without tags in smart home environments
— Since family members have their unique features when living in a smart home environment, user identifications are able to achieve without any tags. In this paper, we propose T...
Wen-Chih Peng, Wangling Huang, YiLing Chen, PeiChi...