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    ICCV
    2011
    IEEE
    177views Computer Vision» more  ICCV 2011»
    Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
    12 years 8 months ago
    Incremental On-line Semi-supervised Learning for Segmenting the Left Ventricle of the Heart from Ultrasound Data
    Download  cs.adelaide.edu.au
    Recently, there has been an increasing interest in the investigation of statistical pattern recognition models for the fully automatic segmentation of the left ventricle (LV) of t...
    Gustavo Carneiro, Jacinto C. Nascimento
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    NIPS
    1998
    130views Information Technology» more  NIPS 1998»
    Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
    13 years 9 months ago
    Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
    Download  www.cns.nyu.edu
    We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
    Eero P. Simoncelli, Odelia Schwartz
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    DAGM
    2010
    Springer
    175views Image Processing» more  DAGM 2010»
    Image Segmentation with a Statistical Appearance Model and a Generic Mumford-Shah Inspired Outside Model
    13 years 9 months ago
    Image Segmentation with a Statistical Appearance Model and a Generic Mumford-Shah Inspired Outside Model
    Download  gravis.cs.unibas.ch
    Abstract. We present a novel statistical-model-based segmentation algorithm that addresses a recurrent problem in appearance model fitting and model-based segmentation: the "s...
    Thomas Albrecht, Thomas Vetter
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    DICTA
    2003
    236views Applied Computing» more  DICTA 2003»
    Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
    13 years 9 months ago
    Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
    Download  www.aprs.org.au
    ：Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
    Ying Ming, Jingjue Jiang, Jun Ming
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    BMCBI
    2010
    140views more  BMCBI 2010»
    Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
    13 years 8 months ago
    Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
    Download  www.biomedcentral.com
    Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
    Tianwei Yu, Hesen Peng
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