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	<title>Meyer Information Management Blog&#187; image classification</title>
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	<description>Innovationen und Technologien im Information Management</description>
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		<title>Channel Intelligence Case Study at AWS</title>
		<link>http://mimblog.de/2009/01/06/channel-intelligence-case-study-at-aws/</link>
		<comments>http://mimblog.de/2009/01/06/channel-intelligence-case-study-at-aws/#comments</comments>
		<pubDate>Tue, 06 Jan 2009 11:39:25 +0000</pubDate>
		<dc:creator>Hannes Carl Meyer</dc:creator>
				<category><![CDATA[Breakfast Links]]></category>
		<category><![CDATA[image classification]]></category>
		<category><![CDATA[nutch]]></category>

		<guid isPermaLink="false">http://mimblog.de/?p=690</guid>
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Breakfast Links 06.01.2009
* Channel Intelligence Case Study: Amazon Web Services
Interesting case study about how Channel Intelligence uses a semi-automatic way to categorize masses of images and product data. CI uses Amazaon&#8217;s Mechanical Turk &#8211; an online marketplace for human workforce &#8211; to support their automated categorization system.
* Sky Grid: Thomson Reuters and Bloomberg Challenger
A quick [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://mimblog.de/wp-content/uploads/2009/01/logo_channelintelligence.gif"><img class="alignnone size-medium wp-image-689" title="logo_channelintelligence" src="http://mimblog.de/wp-content/uploads/2009/01/logo_channelintelligence.gif" alt="" width="198" height="65" /></a></p>
<p><strong>Breakfast Links 06.01.2009</strong></p>
<p>* <a title="Channel Intelligence Case Study: Amazon Web Services" href="http://aws.amazon.com/solutions/case-studies/Channel-Intelligence/" target="_blank">Channel Intelligence Case Study: Amazon Web Services</a></p>
<p>Interesting case study about how <a title="Channel Intelligence" href="http://www.channelintelligence.com/" target="_blank">Channel Intelligence</a> uses a semi-automatic way to categorize masses of images and product data. CI uses Amazaon&#8217;s <a title="Amazon Mechanical Turk" href="http://aws.amazon.com/mturk/" target="_blank">Mechanical Turk</a> &#8211; an online marketplace for human workforce &#8211; to support their automated categorization system.</p>
<p>* <a title="Sky Grid: Thomson Reuters and Bloomberg Challenger" href="http://arnoldit.com/wordpress/2009/01/06/sky-grid-thomson-reuters-and-bloomberg-challenger/" target="_blank">Sky Grid: Thomson Reuters and Bloomberg Challenger</a></p>
<p>A quick capture of <a title="Sky Grid" href="http://www.skygrid.com/" target="_blank">Sky Grid</a> (US company) from Beyond Search, especially regarding its Business Model and opportunities. <em>This is actually a kind of software I built a couple years ago for different companies (10.000+) over here in germany!</em></p>
<p>* <strong>Nutch 1.0 in 1-2 weeks?</strong></p>
<p>Just read a message from Dennis Kubes on the Nutch Mailing-List regarding the release of Nutch 1.0! The <a href="http://issues.apache.org/jira/secure/IssueNavigator.jspa?reset=true&amp;mode=hide&amp;sorter/order=DESC&amp;sorter/field=priority&amp;resolution=-1&amp;pid=10680&amp;fixfor=12312443" target="_blank">Jira link</a> is also pretty interesting about the upcoming features&#8230;</p>
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		<title>Accenture Redefines Enterprise Search</title>
		<link>http://mimblog.de/2008/10/22/accenture-redefines-enterprise-search/</link>
		<comments>http://mimblog.de/2008/10/22/accenture-redefines-enterprise-search/#comments</comments>
		<pubDate>Wed, 22 Oct 2008 08:04:49 +0000</pubDate>
		<dc:creator>Hannes Carl Meyer</dc:creator>
				<category><![CDATA[Breakfast Links]]></category>
		<category><![CDATA[Enterprise Search]]></category>
		<category><![CDATA[image classification]]></category>

		<guid isPermaLink="false">http://mimblog.de/?p=536</guid>
		<description><![CDATA[
Breakfast Links 22.10.2008
* In Search of Answers: Enterprise Search and the High-Performance Business
Accenture just released an article on Enterprise Search and defines it as it is, as also what is coming in future like multimedia search capabilities and sentiment analysis.
* Classifying Images Part 2: Basic Attributes
As Accenture already defined multimedia search capabilities of being one [...]]]></description>
			<content:encoded><![CDATA[<p style="text-align: center;"><a href="http://www.accenture.com/Global/Technology/Information_Mgmt/Information_Mgmt_Services/R_and_I/SearchAnswers.htm"><img class="aligncenter size-medium wp-image-537" title="accenture-enterprise-search" src="http://mimblog.de/wp-content/uploads/2008/10/accenture-enterprise-search-300x209.jpg" alt="" width="300" height="209" /></a></p>
<p style="text-align: left;"><strong>Breakfast Links 22.10.2008</strong></p>
<p style="text-align: left;">* <a title="In Search of Answers: Enterprise Search and the High-Performance Business" href="http://www.accenture.com/Global/Technology/Information_Mgmt/Information_Mgmt_Services/R_and_I/SearchAnswers.htm" target="_blank">In Search of Answers: Enterprise Search and the High-Performance Business</a></p>
<p style="text-align: left;">Accenture just released an article on Enterprise Search and defines it as it is, as also what is coming in future like multimedia search capabilities and <a title="Sentiment Analysis" href="http://en.wikipedia.org/wiki/Sentiment_analysis" target="_blank">sentiment analysis</a>.</p>
<p style="text-align: left;">* <a title="Classifying Images Part 2: Basic Attributes" href="http://www.synapticacentral.com/content/classifying-images-part-2-basic-attributes" target="_blank">Classifying Images Part 2: Basic Attributes</a></p>
<p>As Accenture already defined multimedia search capabilities of being one big thing in the future, Synaptica Central released Part 2 of an article series on classifying images. In this article, Ian Davis describes which image metadata is going to be used for background information (creator name, image series, location) on a certain image.</p>
<p>P.S.: <a title="Keasone" href="http://keasone.de" target="_blank">Alex</a> just told me he had enough of the good ol&#8217; english breakfast, will try to provide more variety on those images now!</p>
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