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    COLING
    2010
    150views Computational Linguistics» more  COLING 2010»
    Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
    14 years 4 months ago
    Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
    Download  www.comp.nus.edu.sg
    We employ Maximum Entropy model to conduct sub-tree alignment between bilingual phrasal structure trees. Various lexical and structural knowledge is explored to measure the syntac...
    Jun Sun, Min Zhang, Chew Lim Tan
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    PAKDD
    2009
    ACM
    134views Data Mining» more  PAKDD 2009»
    On Link Privacy in Randomizing Social Networks.
    15 years 7 months ago
    On Link Privacy in Randomizing Social Networks.
    Download  www.sis.uncc.edu
    Many applications of social networks require relationship anonymity due to the sensitive, stigmatizing, or confidential nature of relationship. Recent work showed that the simple ...
    Xiaowei Ying, Xintao Wu
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    BMCBI
    2006
    93views more  BMCBI 2006»
    A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database
    14 years 9 months ago
    A summarization approach for Affymetrix GeneChip data using a reference training set from a large, biologically diverse database
    Download  www.biomedcentral.com
    Background: Many of the most popular pre-processing methods for Affymetrix expression arrays, such as RMA, gcRMA, and PLIER, simultaneously analyze data across a set of predetermi...
    Simon Katz, Rafael A. Irizarry, Xue Lin, Mark Trip...
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    CBMS
    2006
    IEEE
    141views Medical Imaging» more  CBMS 2006»
    Efficient Rotation Invariant Retrieval of Shapes with Applications in Medical Databases
    15 years 3 months ago
    Efficient Rotation Invariant Retrieval of Shapes with Applications in Medical Databases
    Download  viola.usc.edu
    Recognition of shapes in images is an important problem in computer vision with application in various medical problems, including robotic surgery and cell analysis. The similarit...
    Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo
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    PRL
    2002
    70views more  PRL 2002»
    On the use of nearest feature line for speaker identification
    14 years 9 months ago
    On the use of nearest feature line for speaker identification
    Download  www.cs.man.ac.uk
    As a new pattern classification method, nearest feature line (NFL) provides an effective way to tackle the sort of pattern recognition problems where only limited data are availab...
    Ke Chen 0001, Ting-Yao Wu, HongJiang Zhang
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