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    » On the Use of the Negation Map in the Pollard Rho Method
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    TCS
    2008
    163views Theoretical Computer Science» more  TCS 2008»
    Kernel methods for learning languages
    13 years 7 months ago
    Kernel methods for learning languages
    Download  www.cs.nyu.edu
    This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
    Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
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    CVPR
    2011
    IEEE
    401views Computer Vision» more  CVPR 2011»
    Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
    12 years 11 months ago
    Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
    Download  www.cs.jhu.edu
    3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
    Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
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    AAAI
    2006
    113views Intelligent Agents» more  AAAI 2006»
    Active Learning with Near Misses
    13 years 8 months ago
    Active Learning with Near Misses
    Download  www.aaai.org
    Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
    Nela Gurevich, Shaul Markovitch, Ehud Rivlin
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    MICCAI
    2008
    Springer
    126views Medical Imaging» more  MICCAI 2008»
    Estimation of Ground-Glass Opacity Measurement in CT Lung Images
    14 years 8 months ago
    Estimation of Ground-Glass Opacity Measurement in CT Lung Images
    Download  zheng.vision.googlepages.com
    We propose to measure quantitatively the opacity property of each pixel in a ground-glass opacity tumor from CT images. Our method results in an opacity map in which each pixel tak...
    Yuanjie Zheng, Chandra Kambhamettu, Thomas Bauer...
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    BMCBI
    2008
    160views more  BMCBI 2008»
    A comparison of four clustering methods for brain expression microarray data
    13 years 7 months ago
    A comparison of four clustering methods for brain expression microarray data
    Download  www.biomedcentral.com
    Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
    Alexander L. Richards, Peter Holmans, Michael C. O...
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