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    ACL
    2004
    71views Computational Linguistics» more  ACL 2004»
    An Alternative Method of Training Probabilistic LR Parsers
    13 years 10 months ago
    An Alternative Method of Training Probabilistic LR Parsers
    Download  acl.ldc.upenn.edu
    We discuss existing approaches to train LR parsers, which have been used for statistical resolution of structural ambiguity. These approaches are nonoptimal, in the sense that a c...
    Mark-Jan Nederhof, Giorgio Satta
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    BMVC
    2000
    153views Computer Vision» more  BMVC 2000»
    Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
    13 years 10 months ago
    Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation
    Download  www.bmva.org
    High-dimensional data, such as images represented as points in the space spanned by their pixel values, can often be described in a significantly smaller number of dimensions than...
    Dick de Ridder, Josef Kittler, Robert P. W. Duin
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    IJCAI
    1989
    111views Artificial Intelligence» more  IJCAI 1989»
    A Probabilistic Approach to Marker Propagation
    13 years 10 months ago
    A Probabilistic Approach to Marker Propagation
    Download  dli.iiit.ac.in
    Potentially, the advantages of marker-passing over local connectionist techniques for associa­ tive inference are (1) the ability to differen­ tiate variable bindings, and (2) r...
    Dekai Wu
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    BILDMED
    2009
    251views Algorithms» more  BILDMED 2009»
    Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures
    13 years 10 months ago
    Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures
    Download  sunsite.informatik.rwth-aachen.de
    Abstract. We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and...
    Stefan Wörz, William J. Godinez, Karl Rohr
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    BMEI
    2009
    IEEE
    144views Biomedical Imaging» more  BMEI 2009»
    An Improved Probabilistic Model for Finding Differential Gene Expression
    13 years 10 months ago
    An Improved Probabilistic Model for Finding Differential Gene Expression
    Download  parnec.nuaa.edu.cn
    Abstract--Finding differentially expressed genes is a fundamental objective of a microarray experiment. Recently proposed method, PPLR, considers the probe-level measurement error ...
    Li Zhang, Xuejun Liu
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