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<pubDate>Wed, 20 Aug 2008 21:18:52 BST</pubDate>


	<title>CiteULike: memming's cnel</title>
	<description>CiteULike: memming's cnel</description>


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<item rdf:about="http://www.citeulike.org/user/memming/article/2845487">
    <title>Some Equivalences between Kernel Methods and Information Theoretic Methods</title>
    <link>http://www.citeulike.org/user/memming/article/2845487</link>
    <description>&lt;i&gt;The Journal of VLSI Signal Processing, Vol. 45, No. 1-2. (November 2006), pp. 49-65.&lt;/i&gt;</description>
    <dc:title>Some Equivalences between Kernel Methods and Information Theoretic Methods</dc:title>

    <dc:creator>Robert Jenssen</dc:creator>
    <dc:creator>Torbjorn Eltoft</dc:creator>
    <dc:creator>Deniz Erdogmus</dc:creator>
    <dc:creator>Jose Principe</dc:creator>
    <dc:identifier>doi:10.1007/s11265-006-9771-8</dc:identifier>
    <dc:source>The Journal of VLSI Signal Processing, Vol. 45, No. 1-2. (November 2006), pp. 49-65.</dc:source>
    <dc:date>2008-05-29T17:46:48-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>The Journal of VLSI Signal Processing</prism:publicationName>
    <prism:volume>45</prism:volume>
    <prism:number>1-2</prism:number>
    <prism:startingPage>49</prism:startingPage>
    <prism:endingPage>65</prism:endingPage>
    <prism:publisher>Springer</prism:publisher>
    <prism:category>cnel</prism:category>
    <prism:category>file-import-08-05-29</prism:category>
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    <prism:category>kernel</prism:category>
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<item rdf:about="http://www.citeulike.org/user/memming/article/1064954">
    <title>Some Equivalences between Kernel Methods and Information Theoretic Methods</title>
    <link>http://www.citeulike.org/user/memming/article/1064954</link>
    <description>&lt;i&gt;The Journal of VLSI Signal Processing, Vol. 45, No. 1-2. (November 2006), pp. 49-65.&lt;/i&gt;</description>
    <dc:title>Some Equivalences between Kernel Methods and Information Theoretic Methods</dc:title>

    <dc:creator>Jenssen Robert</dc:creator>
    <dc:creator>Eltoft Torbjorn</dc:creator>
    <dc:creator>Erdogmus Deniz</dc:creator>
    <dc:creator>Principe Jose</dc:creator>
    <dc:identifier>doi:10.1007/s11265-006-9771-8</dc:identifier>
    <dc:source>The Journal of VLSI Signal Processing, Vol. 45, No. 1-2. (November 2006), pp. 49-65.</dc:source>
    <dc:date>2007-01-24T10:54:51-00:00</dc:date>
    <prism:publicationYear>2006</prism:publicationYear>
    <prism:publicationName>The Journal of VLSI Signal Processing</prism:publicationName>
    <prism:issn>0922-5773</prism:issn>
    <prism:volume>45</prism:volume>
    <prism:number>1-2</prism:number>
    <prism:startingPage>49</prism:startingPage>
    <prism:endingPage>65</prism:endingPage>
    <prism:publisher>Springer</prism:publisher>
    <prism:category>cnel</prism:category>
    <prism:category>itl</prism:category>
    <prism:category>kernel</prism:category>
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<item rdf:about="http://www.citeulike.org/user/memming/article/2610969">
    <title>A new nonlinear similarity measure for multichannel signals</title>
    <link>http://www.citeulike.org/user/memming/article/2610969</link>
    <description>&lt;i&gt;Neural Networks, Vol. 21, No. 2-3. ( 2008), pp. 222-231.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;We propose a novel similarity measure, called the correntropy coefficient, sensitive to higher order moments of the signal statistics based on a similarity function called the cross-correntopy. Cross-correntropy nonlinearly maps the original time series into a high-dimensional reproducing kernel Hilbert space (RKHS). The correntropy coefficient computes the cosine of the angle between the transformed vectors. Preliminary experiments with simulated data and multichannel electroencephalogram (EEG) signals during behaviour studies elucidate the performance of the new measure versus the well-established correlation coefficient.</description>
    <dc:title>A new nonlinear similarity measure for multichannel signals</dc:title>

    <dc:creator>Jian-Wu Xu</dc:creator>
    <dc:creator>Hovagim Bakardjian</dc:creator>
    <dc:creator>Andrzej Cichocki</dc:creator>
    <dc:creator>Jose Principe</dc:creator>
    <dc:identifier>doi:10.1016/j.neunet.2007.12.039</dc:identifier>
    <dc:source>Neural Networks, Vol. 21, No. 2-3. ( 2008), pp. 222-231.</dc:source>
    <dc:date>2008-03-29T19:01:28-00:00</dc:date>
    <prism:publicationYear>2008</prism:publicationYear>
    <prism:publicationName>Neural Networks</prism:publicationName>
    <prism:volume>21</prism:volume>
    <prism:number>2-3</prism:number>
    <prism:startingPage>222</prism:startingPage>
    <prism:endingPage>231</prism:endingPage>
    <prism:category>cnel</prism:category>
    <prism:category>correntropy</prism:category>
    <prism:category>eeg</prism:category>
    <prism:category>henon</prism:category>
    <prism:category>jianwu</prism:category>
    <prism:category>nonlinear</prism:category>
    <prism:category>principe</prism:category>
    <prism:category>similarity</prism:category>
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