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    ICCAD
    2009
    IEEE
    152views Hardware» more  ICCAD 2009»
    Adaptive sampling for efficient failure probability analysis of SRAM cells
    13 years 6 months ago
    Adaptive sampling for efficient failure probability analysis of SRAM cells
    Download  www.vlsi.uwaterloo.ca
    In this paper, an adaptive sampling method is proposed for the statistical SRAM cell analysis. The method is composed of two components. One part is the adaptive sampler that manip...
    Javid Jaffari, Mohab Anis
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    PICS
    2003
    132views Image Processing» more  PICS 2003»
    Eye Tracking Observers During Rank Order, Paired Comparison, and Graphical Rating Tasks
    13 years 10 months ago
    Eye Tracking Observers During Rank Order, Paired Comparison, and Graphical Rating Tasks
    Download  www.cis.rit.edu
    In studying image quality and image preference it is necessary to collect psychophysical data. A variety of methods are used to arrive at interval scale values which indicate the ...
    Jason S. Babcock, Jeff B. Pelz, Mark D. Fairchild
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    AMC
    2005
    138views more  AMC 2005»
    Optimal centers in branch-and-prune algorithms for univariate global optimization
    13 years 9 months ago
    Optimal centers in branch-and-prune algorithms for univariate global optimization
    Download  www.math.upatras.gr
    We present an interval branch-and-prune algorithm for computing verified enclosures for the global minimum and all global minimizers of univariate functions subject to bound const...
    D. G. Sotiropoulos, T. N. Grapsa
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    GVD
    2009
    128views Database» more  GVD 2009»
    A Self-Adaptive Insert Strategy for Content-Based Multidimensional Database Storage
    13 years 6 months ago
    A Self-Adaptive Insert Strategy for Content-Based Multidimensional Database Storage
    Download  rosdok.uni-rostock.de
    In this paper, we present the current development progress of our dynamic insert strategy based on the Intelligent Cluster Index (ICIx), which is a new type of multidimensional da...
    Sebastian Leuoth, Wolfgang Benn
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    KDD
    2009
    ACM
    227views Data Mining» more  KDD 2009»
    Efficiently learning the accuracy of labeling sources for selective sampling
    14 years 9 months ago
    Efficiently learning the accuracy of labeling sources for selective sampling
    Download  www.cs.cmu.edu
    Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
    Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
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