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    MICCAI
    2002
    Springer
    227views Medical Imaging» more  MICCAI 2002»
    An Automated Segmentation Method of Kidney Using Statistical Information
    16 years 4 months ago
    An Automated Segmentation Method of Kidney Using Statistical Information
    Download  www.tuat.ac.jp
    : This paper presents a deformable model based approach for automated segmentation of kidneys from tree dimensional (3D) abdominal CT images. Since the quality of an input image is...
    Baigalmaa Tsagaan, Akinobu Shimizu, Hidefumi Kobat...
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    137
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    PKDD
    2010
    Springer
    184views Data Mining» more  PKDD 2010»
    Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
    15 years 2 months ago
    Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
    Download  www.cs.tufts.edu
    Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
    Yuyang Wang, Roni Khardon, Pavlos Protopapas
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    DAC
    1999
    ACM
    130views Computer Architecture» more  DAC 1999»
    A Model for Scheduling Protocol-Constrained Components and Environments
    16 years 4 months ago
    A Model for Scheduling Protocol-Constrained Components and Environments
    Download  bears.ece.ucsb.edu
    Steve Haynal, Forrest Brewer
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    93
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    DAC
    2001
    ACM
    112views Computer Architecture» more  DAC 2001»
    Modeling and Analysis of Differential Signaling for Minimizing Inductive Cross-Talk
    16 years 4 months ago
    Modeling and Analysis of Differential Signaling for Minimizing Inductive Cross-Talk
    Download  vada.skku.ac.kr
    Yehia Massoud, Jamil Kawa, Don MacMillen, Jacob Wh...
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    93
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    DAC
    2002
    ACM
    92views Computer Architecture» more  DAC 2002»
    A detailed cost model for concurrent use with hardware/software co-design
    16 years 4 months ago
    A detailed cost model for concurrent use with hardware/software co-design
    Download  www.enme.umd.edu
    Daniel Ragan, Peter Sandborn, Paul Stoaks
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