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    DAC
    2005
    ACM
    126views Computer Architecture» more  DAC 2005»
    Energy optimal speed control of devices with discrete speed sets
    14 years 11 months ago
    Energy optimal speed control of devices with discrete speed sets
    Download  www.cs.york.ac.uk
    We obtain analytically, the energy optimal speed profile of a generic multi-speed device with a discrete set of speeds, to execute a given task within a given time. Current implem...
    Ravishankar Rao, Sarma B. K. Vrudhula
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    DAC
    2006
    ACM
    133views Computer Architecture» more  DAC 2006»
    MARS-C: modeling and reduction of soft errors in combinational circuits
    14 years 11 months ago
    MARS-C: modeling and reduction of soft errors in combinational circuits
    Download  www.ece.cmu.edu
    Due to the shrinking of feature size and reduction in supply voltages, nanoscale circuits have become more susceptible to radiation induced transient faults. In this paper, we pre...
    Natasa Miskov-Zivanov, Diana Marculescu
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    MICCAI
    2006
    Springer
    160views Medical Imaging» more  MICCAI 2006»
    Segmentation of Neck Lymph Nodes in CT Datasets with Stable 3D Mass-Spring Models
    14 years 11 months ago
    Segmentation of Neck Lymph Nodes in CT Datasets with Stable 3D Mass-Spring Models
    Download  isgwww.cs.uni-magdeburg.de
    Abstract. The quantitative assessment of neck lymph nodes in the context of malign tumors requires an ecient segmentation technique for lymph nodes in tomographic 3D datasets. We p...
    Bernhard Preim, Gero Strauß, Heiko Seim, Ilk...
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    ICML
    2000
    IEEE
    169views Machine Learning» more  ICML 2000»
    Rates of Convergence for Variable Resolution Schemes in Optimal Control
    14 years 11 months ago
    Rates of Convergence for Variable Resolution Schemes in Optimal Control
    Download  sequel.futurs.inria.fr
    This paper presents a general method to derive tight rates of convergence for numerical approximations in optimal control when we consider variable resolution grids. We study the ...
    Andrew W. Moore, Rémi Munos
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    ICML
    1999
    IEEE
    210views Machine Learning» more  ICML 1999»
    Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
    14 years 11 months ago
    Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
    Download  www.csse.monash.edu.au
    Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
    Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
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