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    NIPS
    2001
    208views Information Technology» more  NIPS 2001»
    Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
    13 years 11 months ago
    Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
    Download  www.cs.utsa.edu
    Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami operator on a manifold, and the connections to the heat equation, we propose a geometrically motiva...
    Mikhail Belkin, Partha Niyogi
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    IC
    2003
    274views Applied Computing» more  IC 2003»
    Remote Real Laboratory: Linux Installation and Configuration
    13 years 11 months ago
    Remote Real Laboratory: Linux Installation and Configuration
    Download  www.vitels.ch
    : Remote real laboratories deal with performing real lab experiments remotely via Internet. Recent advances in Internet/web technologies and computer-controlled instrumentation all...
    Alassane Diop, Amine Berqia, Jürgen Harms
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    OPODIS
    2003
    112views Distributed And Parallel Com...» more  OPODIS 2003»
    Multiple Agents RendezVous in a Ring in Spite of a Black Hole
    13 years 11 months ago
    Multiple Agents RendezVous in a Ring in Spite of a Black Hole
    Download  www.site.uottawa.ca
    The Rendezvous of anonymous mobile agents in a anonymous network is an intensively studied problem; it calls for k anonymous, mobile agents to gather in the same site. We study thi...
    Stefan Dobrev, Paola Flocchini, Giuseppe Prencipe,...
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    SDM
    2003
    SIAM
    184views Data Mining» more  SDM 2003»
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    13 years 11 months ago
    Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
    Download  www-users.cs.umn.edu
    The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
    Levent Ertöz, Michael Steinbach, Vipin Kumar
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    AAAI
    2000
    143views Intelligent Agents» more  AAAI 2000»
    Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
    13 years 11 months ago
    Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
    Download  www.ri.cmu.edu
    One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
    Amedeo Cesta, Angelo Oddi, Stephen F. Smith
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