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    COMCOM
    2006
    96views more  COMCOM 2006»
    Dynamic cache reconfiguration strategies for cluster-based streaming proxy
    14 years 9 months ago
    Dynamic cache reconfiguration strategies for cluster-based streaming proxy
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    The high bandwidth and the relatively long-lived characteristics of digital video are key limiting factors in the wide-spread usage of streaming content over the Internet. The pro...
    Yang Guo, Zihui Ge, Bhuvan Urgaonkar, Prashant J. ...
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    EOR
    2006
    73views more  EOR 2006»
    Enforcing minimum run length in the cutting stock problem
    14 years 9 months ago
    Enforcing minimum run length in the cutting stock problem
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    Deckling, cutting stock or trim loss problems arise when small units are to be fitted into large ones. One aims to reduce stock usage and setups, then favors long runs, surplus ov...
    Adolf Diegel, Garth Miller, Edouard Montocchio, Si...
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    MCS
    2008
    Springer
    99views Pattern Recognition» more  MCS 2008»
    Parameter identification and model verification in systems of partial differential equations applied to transdermal drug deliver
    14 years 9 months ago
    Parameter identification and model verification in systems of partial differential equations applied to transdermal drug deliver
    Download  www.math.uni-bayreuth.de
    The purpose of this paper is to present some numerical tools which facilitate the interpretation of simulation or data fitting results and which allow to compute optimal experimen...
    Klaus Schittkowski
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    PR
    2006
    119views more  PR 2006»
    Fingerprint matching by genetic algorithms
    14 years 9 months ago
    Fingerprint matching by genetic algorithms
    Download  www.vislab.ucr.edu
    Fingerprint matching is still a challenging problem for reliable person authentication because of the complex distortions involved in two impressions of the same finger. In this p...
    Xuejun Tan, Bir Bhanu
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    PRL
    2006
    139views more  PRL 2006»
    Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
    14 years 9 months ago
    Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
    Download  www.novauniversitas.it
    This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
    Francisco de A. T. de Carvalho, Renata M. C. R. de...
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