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» Clustering for processing rate optimization
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ICDM
2010
IEEE
200views Data Mining» more  ICDM 2010»
13 years 5 months ago
Bayesian Maximum Margin Clustering
Abstract--Most well-known discriminative clustering models, such as spectral clustering (SC) and maximum margin clustering (MMC), are non-Bayesian. Moreover, they merely considered...
Bo Dai, Baogang Hu, Gang Niu
TNN
2010
155views Management» more  TNN 2010»
13 years 2 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
ICPR
2008
IEEE
14 years 2 months ago
Incremental clustering via nonnegative matrix factorization
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...
Serhat Selcuk Bucak, Bilge Günsel
ICASSP
2011
IEEE
12 years 11 months ago
A robust artificial noise aided transmit design for MISO secrecy
This paper considers an artificial noise (AN) aided secrecy rate maximization (SRM) problem for a multi-input single-output (MISO) channel overheard by multiple single-antenna ea...
Qiang Li, Wing-Kin Ma
NOMS
2008
IEEE
108views Communications» more  NOMS 2008»
14 years 2 months ago
Autonomic QoS optimization of real-time internet audio using loss prediction and stochastic control
— Quality of Internet audio is highly sensitive to packet loss caused by congestion in the links. Packet loss for audio is normally rectified by adding redundancy using Forward ...
Lopa Roychoudhuri, Ehab S. Al-Shaer