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    <title>topic Re: Wrong result when using CrossCorrValid_Norm in Intel® Integrated Performance Primitives</title>
    <link>https://community.intel.com/t5/Intel-Integrated-Performance/Wrong-result-when-using-CrossCorrValid-Norm/m-p/893835#M11841</link>
    <description>&lt;P&gt;Hello Dana,&lt;/P&gt;
&lt;P&gt;Thanks for reporting this. We identified a bug in optimized version of this function. The bug will be fixed in the IPP 6.0 final release. Note, the latest availbale version,IPP 5.3 update 4,still contain that issue.&lt;/P&gt;
&lt;P&gt;Regards,&lt;BR /&gt; Vladimir&lt;/P&gt;</description>
    <pubDate>Wed, 03 Sep 2008 13:11:20 GMT</pubDate>
    <dc:creator>Vladimir_Dudnik</dc:creator>
    <dc:date>2008-09-03T13:11:20Z</dc:date>
    <item>
      <title>Wrong result when using CrossCorrValid_Norm</title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/Wrong-result-when-using-CrossCorrValid-Norm/m-p/893834#M11840</link>
      <description>&lt;P&gt;Hello.&lt;/P&gt;
&lt;P&gt;We have received wrong results while using CrossCorrValid_Norm with IPP version 5.3 update 3.&lt;/P&gt;
&lt;P&gt;The results are not always wrong, but for certain matrices (with certain size) , the results diviate for some points by 0.3. It doesn't matter what is the data in the matrix- Just the size. We have used previous versions of IPP and the results were always correct. &lt;/P&gt;
&lt;P&gt;in ourtestings, this happens only while using UINT8 matrices(Images).&lt;/P&gt;
&lt;P&gt;For Example: For two matrices: one sized 3X5 and a smaller one 2X3.&lt;/P&gt;
&lt;P&gt;&lt;U&gt;3X5:&lt;/U&gt;&lt;/P&gt;
&lt;P&gt;85 194 177 253 39 &lt;/P&gt;
&lt;P&gt;241 233 2 32 19&lt;/P&gt;
&lt;P&gt;23 250 93 243 132&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;&lt;U&gt;2X3&lt;/U&gt;&lt;/P&gt;
&lt;P&gt;149 84 17&lt;/P&gt;
&lt;P&gt;2 227 19&lt;/P&gt;
&lt;P&gt;&lt;U&gt;IPP Result&lt;/U&gt;&lt;/P&gt;
&lt;P&gt;0.121069 -0.616973 0.0344648&lt;/P&gt;
&lt;P&gt;0.539306 -0.28021 0.162498&lt;/P&gt;
&lt;P&gt;&lt;U&gt;Ours and Matlab results&lt;/U&gt;&lt;/P&gt;
&lt;P&gt;0.19392 -0.513159 0.0344648&lt;/P&gt;
&lt;P&gt;0.578099 -0.178333 0.162498&lt;/P&gt;
&lt;P&gt;&lt;/P&gt;
&lt;P&gt;As was said before , It does not matter what the data in the matrices is, the result always diviates.&lt;/P&gt;
&lt;P&gt;Thank you&lt;/P&gt;
&lt;P&gt;Dana O.&lt;/P&gt;</description>
      <pubDate>Mon, 01 Sep 2008 11:59:44 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/Wrong-result-when-using-CrossCorrValid-Norm/m-p/893834#M11840</guid>
      <dc:creator>panda2420</dc:creator>
      <dc:date>2008-09-01T11:59:44Z</dc:date>
    </item>
    <item>
      <title>Re: Wrong result when using CrossCorrValid_Norm</title>
      <link>https://community.intel.com/t5/Intel-Integrated-Performance/Wrong-result-when-using-CrossCorrValid-Norm/m-p/893835#M11841</link>
      <description>&lt;P&gt;Hello Dana,&lt;/P&gt;
&lt;P&gt;Thanks for reporting this. We identified a bug in optimized version of this function. The bug will be fixed in the IPP 6.0 final release. Note, the latest availbale version,IPP 5.3 update 4,still contain that issue.&lt;/P&gt;
&lt;P&gt;Regards,&lt;BR /&gt; Vladimir&lt;/P&gt;</description>
      <pubDate>Wed, 03 Sep 2008 13:11:20 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Integrated-Performance/Wrong-result-when-using-CrossCorrValid-Norm/m-p/893835#M11841</guid>
      <dc:creator>Vladimir_Dudnik</dc:creator>
      <dc:date>2008-09-03T13:11:20Z</dc:date>
    </item>
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