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    TIFS
    2008
    113views more  TIFS 2008»
    A Selective Feature Information Approach for Iris Image-Quality Measure
    14 years 9 months ago
    A Selective Feature Information Approach for Iris Image-Quality Measure
    Download  www.engr.iupui.edu
    Poor quality images can significantly affect the accuracy of iris-recognition systems because they do not have enough feature information. However, existing quality measures have f...
    Craig Belcher, Yingzi Du
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    TSE
    2008
    92views more  TSE 2008»
    Metrics for Measuring the Quality of Modularization of Large-Scale Object-Oriented Software
    14 years 9 months ago
    Metrics for Measuring the Quality of Modularization of Large-Scale Object-Oriented Software
    Download  cobweb.ecn.purdue.edu
    The metrics formulated to date for characterizing the modularization quality of object-oriented software have considered module and class to be synonymous concepts. But, a typical ...
    Santonu Sarkar, Avinash C. Kak, Girish Maskeri Ram...
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    BMCBI
    2004
    129views more  BMCBI 2004»
    Integrating partonomic hierarchies in anatomy ontologies
    14 years 9 months ago
    Integrating partonomic hierarchies in anatomy ontologies
    Download  genex.hgu.mrc.ac.uk
    Background Anatomy ontologies play an increasingly important role in developing integrated bioinformatics applications. One of the primary relationships between anatomical tissues...
    Albert Burger, Duncan Davidson, Yiya Yang, Richard...
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    PRL
    2007
    118views more  PRL 2007»
    Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
    14 years 9 months ago
    Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework
    Download  plaza.ufl.edu
    Multi-class AdaBoost algorithms AdaBooost.MO, -ECC and -OC have received a great attention in the literature, but their relationships have not been fully examined to date. In this...
    Yijun Sun, Sinisa Todorovic, Jian Li
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    PRL
    2007
    166views more  PRL 2007»
    Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
    14 years 9 months ago
    Boosted Landmarks of Contextual Descriptors and Forest-ECOC: A novel framework to detect and classify objects in cluttered scene
    Download  www.maia.ub.es
    In this paper, we present a novel methodology to detect and recognize objects in cluttered scenes by proposing boosted contextual descriptors of landmarks in a framework of multi-...
    Sergio Escalera, Oriol Pujol, Petia Radeva
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