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    SISAP
    2010
    IEEE
    243views Data Mining» more  SISAP 2010»
    Similarity matrix compression for efficient signature quadratic form distance computation
    15 years 3 months ago
    Similarity matrix compression for efficient signature quadratic form distance computation
    Download  www-i9.informatik.rwth-aachen.de
    Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...
    Christian Beecks, Merih Seran Uysal, Thomas Seidl
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    ICMLA
    2009
    213views Machine Learning» more  ICMLA 2009»
    Discovering Rules from Disk Events for Predicting Hard Drive Failures
    15 years 2 months ago
    Discovering Rules from Disk Events for Predicting Hard Drive Failures
    Download  mllab.csa.iisc.ernet.in
    Detecting impending failure of hard disks is an important prediction task which might help computer systems to prevent loss of data and performance degradation. Currently most of t...
    Vipul Agarwal, Chiranjib Bhattacharyya, Thirumale ...
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    IFIP12
    2009
    151views Information Technology» more  IFIP12 2009»
    User Recommendations based on Tensor Dimensionality Reduction
    15 years 2 months ago
    User Recommendations based on Tensor Dimensionality Reduction
    Download  delab.csd.auth.gr
    Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products etc.). Social tagging...
    Panagiotis Symeonidis
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    CROSSROADS
    2010
    227views Software Engineering» more  CROSSROADS 2010»
    Massive multiplayer human computation for fun, money, and survival
    15 years 1 days ago
    Massive multiplayer human computation for fun, money, and survival
    Download  crowdresearch.org
    Crowdsourcing is an effective tool to solve hard tasks. By bringing 100,000s of people to work on simple tasks that only humans can do, we can go far beyond traditional models of ...
    Lukas Biewald
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    SIAMSC
    2011
    219views more  SIAMSC 2011»
    Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
    15 years 1 days ago
    Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
    Download  lucaswilcox.com
    We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
    H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
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