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    ISPD
    1998
    ACM
    101views Hardware» more  ISPD 1998»
    Greedy wire-sizing is linear time
    13 years 9 months ago
    Greedy wire-sizing is linear time
    Download  home.eng.iastate.edu
    —The greedy wire-sizing algorithm (GWSA) has been experimentally shown to be very efficient, but no mathematical analysis on its convergence rate has ever been reported. In this...
    Chris C. N. Chu, D. F. Wong
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    PAMI
    2010
    245views more  PAMI 2010»
    A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking
    13 years 3 months ago
    A Combinatorial Solution for Model-Based Image Segmentation and Real-Time Tracking
    Download  cvpr.in.tum.de
    —We propose a combinatorial solution to determine the optimal elastic matching of a deformable template to an image. The central idea is to cast the optimal matching of each temp...
    Thomas Schoenemann, Daniel Cremers
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    SODA
    2004
    ACM
    131views Algorithms» more  SODA 2004»
    Compression boosting in optimal linear time using the Burrows-Wheeler Transform
    13 years 6 months ago
    Compression boosting in optimal linear time using the Burrows-Wheeler Transform
    Download  people.unipmn.it
    Paolo Ferragina, Giovanni Manzini
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    SDM
    2007
    SIAM
    171views Data Mining» more  SDM 2007»
    A Better Alternative to Piecewise Linear Time Series Segmentation
    13 years 6 months ago
    A Better Alternative to Piecewise Linear Time Series Segmentation
    Download  siam.org
    Time series are difficult to monitor, summarize and predict. Segmentation organizes time series into few intervals having uniform characteristics (flatness, linearity, modality,...
    Daniel Lemire
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    ICMLA
    2008
    244views Machine Learning» more  ICMLA 2008»
    A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
    13 years 6 months ago
    A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
    Download  www.kyb.tuebingen.mpg.de
    Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
    Silvia Chiappa
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