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    COMGEO
    2010
    ACM
    149views Applied Computing» more  COMGEO 2010»
    Approximation algorithm for the kinetic robust K-center problem
    13 years 9 months ago
    Approximation algorithm for the kinetic robust K-center problem
    Download  www.cs.umd.edu
    Clustering is an important problem and has numerous applications. In this paper we consider an important clustering problem, called the k-center problem. We are given a discrete p...
    Sorelle A. Friedler, David M. Mount
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    CGA
    2008
    123views Computational Geometry» more  CGA 2008»
    Interactive Reconfiguration of Urban Layouts
    13 years 9 months ago
    Interactive Reconfiguration of Urban Layouts
    Download  www.cs.purdue.edu
    The ability to create and edit a model of a large-scale city is necessary for a variety of applications such as web-based navigation (e.g., MapQuest, GoogleEarth), emergency respo...
    Daniel G. Aliaga, Bedrich Benes, Carlos A. Vanegas...
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    CORR
    2008
    Springer
    103views Education» more  CORR 2008»
    Quickest Change Detection of a Markov Process Across a Sensor Array
    13 years 9 months ago
    Quickest Change Detection of a Markov Process Across a Sensor Array
    Download  www.ifp.illinois.edu
    Recent attention in quickest change detection in the multi-sensor setting has been on the case where the densities of the observations change at the same instant at all the sensor...
    Vasanthan Raghavan, Venugopal V. Veeravalli
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    JMLR
    2008
    230views more  JMLR 2008»
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    13 years 9 months ago
    Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
    Download  www.stat.berkeley.edu
    Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
    Michael Collins, Amir Globerson, Terry Koo, Xavier...
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    DSS
    2007
    226views more  DSS 2007»
    Dare to share: Protecting sensitive knowledge with data sanitization
    13 years 9 months ago
    Dare to share: Protecting sensitive knowledge with data sanitization
    Download  www.osu-ours.okstate.edu
    chool of Business Research – FY 2007 Research Abstracts Dare to Share: Protecting Sensitive Knowledge with Data Sanitization Data sanitization is a process that is used to promot...
    Ali Amiri
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