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161
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ICML
2004
IEEE
15 years 11 months ago
K-means clustering via principal component analysis
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Chris H. Q. Ding, Xiaofeng He
109
Voted
INFOCOM
2009
IEEE
15 years 4 months ago
Exact Analysis of Latency of Stateless Opportunistic Forwarding
Abstract—Stateless opportunistic forwarding is a simple faulttolerant distributed approach for data delivery and information querying in wireless ad hoc networks, where packets a...
Chi-Kin Chau, Prithwish Basu
77
Voted
IMC
2009
ACM
15 years 4 months ago
An analysis of packet sampling in the frequency domain
Packet sampling techniques introduce measurement errors that should be carefully handled in order to correctly characterize the network behavior. In the literature several works h...
Luigi Alfredo Grieco, Chadi Barakat
81
Voted
ICMCS
2009
IEEE
118views Multimedia» more  ICMCS 2009»
14 years 8 months ago
Is this joke really funny? judging the mirth by audiovisual laughter analysis
This paper presents the results of an empirical study suggesting that, while laughter is a very good indicator of amusement, the kind of laughter (unvoiced laughter vs.voiced laug...
Stavros Petridis, Maja Pantic
ICC
2011
IEEE
219views Communications» more  ICC 2011»
13 years 9 months ago
Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems
—We consider a general wireless channel model for different types of code-division multiple access (CDMA) and space-division multiple-access (SDMA) systems with isometric random ...
Jakob Hoydis, Romain Couillet, Mérouane Deb...