<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>मोबाइल उपकरणों पर प्रारंभिक खोज बिंदु की अनुकूली भविष्यवाणी के माध्यम से ऑब्जेक्ट ट्रैकिंग Archives &#8212; MATLAB Number ONE</title>
	<atom:link href="https://matlab1.com/product-tag/%e0%a4%ae%e0%a5%8b%e0%a4%ac%e0%a4%be%e0%a4%87%e0%a4%b2-%e0%a4%89%e0%a4%aa%e0%a4%95%e0%a4%b0%e0%a4%a3%e0%a5%8b%e0%a4%82-%e0%a4%aa%e0%a4%b0-%e0%a4%aa%e0%a5%8d%e0%a4%b0%e0%a4%be%e0%a4%b0%e0%a4%82/feed/" rel="self" type="application/rss+xml" />
	<link>https://matlab1.com/product-tag/मोबाइल-उपकरणों-पर-प्रारं/</link>
	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
	<lastBuildDate>Fri, 03 Dec 2021 06:27:48 +0000</lastBuildDate>
	<language>en-GB</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	

<image>
	<url>https://matlab1.com/wp-content/uploads/2018/08/icon1-100x100.png</url>
	<title>मोबाइल उपकरणों पर प्रारंभिक खोज बिंदु की अनुकूली भविष्यवाणी के माध्यम से ऑब्जेक्ट ट्रैकिंग Archives &#8212; MATLAB Number ONE</title>
	<link>https://matlab1.com/product-tag/मोबाइल-उपकरणों-पर-प्रारं/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Object tracking via adaptive prediction of initial search point on mobile devices</title>
		<link>https://matlab1.com/shop/java-code/object-tracking-via-adaptive-prediction-of-initial-search-point-on-mobile-devices/</link>
					<comments>https://matlab1.com/shop/java-code/object-tracking-via-adaptive-prediction-of-initial-search-point-on-mobile-devices/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Tue, 03 Apr 2018 08:33:41 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=4703</guid>

					<description><![CDATA[<p>Common feature tracking algorithms, such as SIFT and SURF, are fairly slow in runtime due to the processing of a large amount of external data. If the object is sufficiently small, outside noise may throw off the object detection device without prior knowledge. Machine learning, especially Markov chains, can use prior knowledge to turn a computationally expensive task into [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/java-code/object-tracking-via-adaptive-prediction-of-initial-search-point-on-mobile-devices/">Object tracking via adaptive prediction of initial search point on mobile devices</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/java-code/object-tracking-via-adaptive-prediction-of-initial-search-point-on-mobile-devices/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
