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    <titleInfo>
        <title>Experiments of Image Retrieval Using Weak Attributes</title>
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        <namePart type="family">Yu</namePart>
        <namePart type="given">Xinnan</namePart>
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        <affiliation>Columbia University. Electrical Engineering</affiliation>
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        <affiliation>Columbia University. Electrical Engineering</affiliation>
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        <namePart type="family">Tsai</namePart>
        <namePart type="given">Ming-Hen</namePart>
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        <affiliation>Columbia University. Computer Science</affiliation>
        <affiliation>Columbia University. Electrical Engineering</affiliation>
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    <name type="personal" ID="gy2179">
        <namePart type="family">Ye</namePart>
        <namePart type="given">Guangnan</namePart>
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        <affiliation>Columbia University. Electrical Engineering</affiliation>
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        <namePart type="family">Chang</namePart>
        <namePart type="given">Shih-Fu</namePart>
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        <affiliation>Columbia University. Electrical Engineering</affiliation>
        <affiliation>Columbia University. Computer Science</affiliation>
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        <publisher>Department of Computer Science, Columbia University</publisher>
        <dateIssued encoding="w3cdtf" keyDate="yes">2012</dateIssued>
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    <abstract>Searching images based on descriptions of image attributes is an intuitive process that can be easily understood by humans and recently made feasible by a few promising works in both the computer vision and multimedia communities. In this report, we describe some experiments of image retrieval methods that utilize weak attributes.</abstract>
    <subject>
        <topic>Computer science</topic>
    </subject>
    <subject>
        <topic>Information science</topic>
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        <titleInfo>
            <title>Columbia University Computer Science Technical Reports</title>
            <partNumber>CUCS-005-12</partNumber>
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    <identifier type="hdl">http://hdl.handle.net/10022/AC:P:12994</identifier>

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