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    INFOCOM
    2012
    IEEE
    187views Communications» more  INFOCOM 2012»
    Scaling social media applications into geo-distributed clouds
    11 years 8 months ago
    Scaling social media applications into geo-distributed clouds
    Download  pages.cpsc.ucalgary.ca
    —Federation of geo-distributed cloud services is a trend in cloud computing which, by spanning multiple data centers at different geographical locations, can provide a cloud plat...
    Yu Wu, Chuan Wu, Bo Li 0001, Linquan Zhang, Zongpe...
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    INFOCOM
    2012
    IEEE
    213views Communications» more  INFOCOM 2012»
    Truthful spectrum auction design for secondary networks
    11 years 8 months ago
    Truthful spectrum auction design for secondary networks
    Download  pages.cpsc.ucalgary.ca
    Abstract—Opportunistic wireless channel access by nonlicensed users has emerged as a promising solution for addressing the bandwidth scarcity challenge. Auctions represent a natu...
    Yuefei Zhu, Baochun Li, Zongpeng Li
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    PAMI
    2012
    274views Software Engineering» more  PAMI 2012»
    A Least-Squares Framework for Component Analysis
    11 years 8 months ago
    A Least-Squares Framework for Component Analysis
    Download  www.cs.cmu.edu
    — Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
    Fernando De la Torre
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    KDD
    2012
    ACM
    178views Data Mining» more  KDD 2012»
    Mining emerging patterns by streaming feature selection
    11 years 8 months ago
    Mining emerging patterns by streaming feature selection
    Download  www.cs.umb.edu
    Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
    Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
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    SDM
    2012
    SIAM
    216views Data Mining» more  SDM 2012»
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    11 years 8 months ago
    Feature Selection "Tomography" - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable
    Download  www.hpl.hp.com
    :  Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
    George Forman
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