<?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>判別性特徵選擇 Archives &#8212; MATLAB Number ONE</title>
	<atom:link href="https://matlab1.com/product-tag/%E5%88%A4%E5%88%A5%E6%80%A7%E7%89%B9%E5%BE%B5%E9%81%B8%E6%93%87/feed/" rel="self" type="application/rss+xml" />
	<link>https://matlab1.com/product-tag/判別性特徵選擇/</link>
	<description>MATLAB Simulink &#124; Tutorial &#124; Code &#124; Project</description>
	<lastBuildDate>Thu, 16 Feb 2023 18:44:38 +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>判別性特徵選擇 Archives &#8212; MATLAB Number ONE</title>
	<link>https://matlab1.com/product-tag/判別性特徵選擇/</link>
	<width>32</width>
	<height>32</height>
</image> 
	<item>
		<title>Real-time Object Tracking via Online Discriminative Feature Selection</title>
		<link>https://matlab1.com/shop/matlab-code/real-time-object-tracking-via-online-discriminative-feature-selection/</link>
					<comments>https://matlab1.com/shop/matlab-code/real-time-object-tracking-via-online-discriminative-feature-selection/#respond</comments>
		
		<dc:creator><![CDATA[global MATLAB]]></dc:creator>
		<pubDate>Mon, 07 May 2018 11:41:33 +0000</pubDate>
				<guid isPermaLink="false">https://matlab1.com/?post_type=product&#038;p=5106</guid>

					<description><![CDATA[<p>Most tracking-by-detection algorithms train discriminative classifiers to separate target objects from their surrounding background. In this setting, noisy samples are likely to be included when they are not properly sampled, thereby causing visual drift. The multiple instance learning (MIL) paradigm has been recently applied to alleviate this problem. However, important prior information of instance labels and the most correct positive instance (i.e., [&#8230;]</p>
<p>The post <a href="https://matlab1.com/shop/matlab-code/real-time-object-tracking-via-online-discriminative-feature-selection/">Real-time Object Tracking via Online Discriminative Feature Selection</a> appeared first on <a href="https://matlab1.com">MATLAB Number ONE</a>.</p>
]]></description>
		
					<wfw:commentRss>https://matlab1.com/shop/matlab-code/real-time-object-tracking-via-online-discriminative-feature-selection/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
			</item>
	</channel>
</rss>
