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	<title>Comments on: In response to &#8220;Computer vision and partial solutions&#8221;</title>
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	<link>http://inperc.com/blog2/2008/01/20/in-response-to-computer-vision-and-partial-solutions/</link>
	<description>Computer vision, image analysis, and related mathematics</description>
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		<title>By: Peter</title>
		<link>http://inperc.com/blog2/2008/01/20/in-response-to-computer-vision-and-partial-solutions/comment-page-1/#comment-67</link>
		<dc:creator>Peter</dc:creator>
		<pubDate>Thu, 24 Jan 2008 16:02:39 +0000</pubDate>
		<guid isPermaLink="false">http://inperc.com/blog2/2008/01/20/in-response-to-computer-vision-and-partial-solutions/#comment-67</guid>
		<description>Thanks for the feedback, Mario. &quot;Digital conscience&quot; is a good one!</description>
		<content:encoded><![CDATA[<p>Thanks for the feedback, Mario. &#8220;Digital conscience&#8221; is a good one!</p>
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		<title>By: Mario Vigliar</title>
		<link>http://inperc.com/blog2/2008/01/20/in-response-to-computer-vision-and-partial-solutions/comment-page-1/#comment-66</link>
		<dc:creator>Mario Vigliar</dc:creator>
		<pubDate>Tue, 22 Jan 2008 09:39:14 +0000</pubDate>
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		<description>I think you’re right in making such a consideration. But the hope for generality is a common sense in every science that could be someway related to human being: just imagine AI, for a simple example, where we can identify a bunch of simple and singular difficult problems (taxonomy, elastic matching, contextualizing and de-contextualizing, language deformation and so on…) but AI researchers are still working to *global conscience* or *digital conscience* projects…

I’m involved in Computer Vision research (mostly for industrial quality control) and also I teach Robotics/CV @ University, and the first thing I say when I start the first lesson to the class is: “PLEASE, forget to be human! When you think about your eyes, your mind and your capability to solve a problem, PLEASE, just take examples, not rules. Human capabilities to go deep in a problem and subdivide it in simpler task is a thing we haven’t still realized in silicon, so PLEASE, keep it simple and stupid!”.

I wish someone had listened to my words…at least once!

Compliments for your blog and other activities, I’ll follow your news more often. Bye.</description>
		<content:encoded><![CDATA[<p>I think you’re right in making such a consideration. But the hope for generality is a common sense in every science that could be someway related to human being: just imagine AI, for a simple example, where we can identify a bunch of simple and singular difficult problems (taxonomy, elastic matching, contextualizing and de-contextualizing, language deformation and so on…) but AI researchers are still working to *global conscience* or *digital conscience* projects…</p>
<p>I’m involved in Computer Vision research (mostly for industrial quality control) and also I teach Robotics/CV @ University, and the first thing I say when I start the first lesson to the class is: “PLEASE, forget to be human! When you think about your eyes, your mind and your capability to solve a problem, PLEASE, just take examples, not rules. Human capabilities to go deep in a problem and subdivide it in simpler task is a thing we haven’t still realized in silicon, so PLEASE, keep it simple and stupid!”.</p>
<p>I wish someone had listened to my words…at least once!</p>
<p>Compliments for your blog and other activities, I’ll follow your news more often. Bye.</p>
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		<title>By: Computer Vision for Dummies &#187; Bio-Image Informatics Workshop, Santa Barbara, Jan 17-18.</title>
		<link>http://inperc.com/blog2/2008/01/20/in-response-to-computer-vision-and-partial-solutions/comment-page-1/#comment-64</link>
		<dc:creator>Computer Vision for Dummies &#187; Bio-Image Informatics Workshop, Santa Barbara, Jan 17-18.</dc:creator>
		<pubDate>Mon, 21 Jan 2008 20:27:15 +0000</pubDate>
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		<description>[...] Most image analysis methods are intended for specific problems. But each problem may have different methods applicable. No-one is concerned that the results could be also different (see last post). [...]</description>
		<content:encoded><![CDATA[<p>[...] Most image analysis methods are intended for specific problems. But each problem may have different methods applicable. No-one is concerned that the results could be also different (see last post). [...]</p>
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