<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[RSS Feed]]></title><description><![CDATA[RSS Feed]]></description><link>http://direct.ecency.com</link><image><url>http://direct.ecency.com/logo512.png</url><title>RSS Feed</title><link>http://direct.ecency.com</link></image><generator>RSS for Node</generator><lastBuildDate>Wed, 06 May 2026 04:17:25 GMT</lastBuildDate><atom:link href="http://direct.ecency.com/created/pattern-analysis/rss.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Recognizing irregular entities in biomedical text via deep neural networks]]></title><description><![CDATA[By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- Current study results on Pattern Analysis have been published. According to news reporting out of Hubei, People’s Republic]]></description><link>http://direct.ecency.com/asia/@newsrx/recognizing-irregular-entities-in-biomedical-text-via-deep-neural-networks</link><guid isPermaLink="true">http://direct.ecency.com/asia/@newsrx/recognizing-irregular-entities-in-biomedical-text-via-deep-neural-networks</guid><category><![CDATA[asia]]></category><dc:creator><![CDATA[newsrx]]></dc:creator><pubDate>Mon, 23 Apr 2018 21:24:48 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNchGPKLQuxAL7oEwDJ42cT977qXjChVMhaeqjkhM6ie2vMiBpKiUBYV9fZZrKKxzEynaGmjDDXm6pSo8RCVXm3fzhBet7bKZqfMGyAQbiqYx6?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[A study of deep convolutional auto-encoders for anomaly detection in videos]]></title><description><![CDATA[By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- Data detailed on Pattern Analysis have been presented. According to news reporting originating in Curitiba, Brazil,]]></description><link>http://direct.ecency.com/brazil/@newsrx/a-study-of-deep-convolutional-auto-encoders-for-anomaly-detection-in-videos</link><guid isPermaLink="true">http://direct.ecency.com/brazil/@newsrx/a-study-of-deep-convolutional-auto-encoders-for-anomaly-detection-in-videos</guid><category><![CDATA[brazil]]></category><dc:creator><![CDATA[newsrx]]></dc:creator><pubDate>Mon, 23 Apr 2018 18:14:39 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNchGPKLQuxAL7oEwDJ42cT977qXjChVMhaeqjkhM6ie2vMiBpKiUBYV9fZZrKKxzEynaGmjDDXm6pSo8RCVXm3fzhBet7bKZqfMGyAQbiqYx6?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[An argumentative approach for discovering relevant opinions in Twitter with probabilistic valued relationships]]></title><description><![CDATA[By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- A new study on Pattern Analysis is now available. According to news reporting from Lleida, Spain, by VerticalNews]]></description><link>http://direct.ecency.com/europe/@newsrx/an-argumentative-approach-for-discovering-relevant-opinions-in-twitter-with-probabilistic-valued-relationships</link><guid isPermaLink="true">http://direct.ecency.com/europe/@newsrx/an-argumentative-approach-for-discovering-relevant-opinions-in-twitter-with-probabilistic-valued-relationships</guid><category><![CDATA[europe]]></category><dc:creator><![CDATA[newsrx]]></dc:creator><pubDate>Mon, 23 Apr 2018 11:01:09 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNchGPKLQuxAL7oEwDJ42cT977qXjChVMhaeqjkhM6ie2vMiBpKiUBYV9fZZrKKxzEynaGmjDDXm6pSo8RCVXm3fzhBet7bKZqfMGyAQbiqYx6?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization]]></title><description><![CDATA[By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- Research findings on Pattern Analysis are discussed in a new report. According to news reporting out of Jiangsu, People’s]]></description><link>http://direct.ecency.com/news/@newsrx/mask-cnn-localizing-parts-and-selecting-descriptors-for-fine-grained-bird-species-categorization</link><guid isPermaLink="true">http://direct.ecency.com/news/@newsrx/mask-cnn-localizing-parts-and-selecting-descriptors-for-fine-grained-bird-species-categorization</guid><category><![CDATA[news]]></category><dc:creator><![CDATA[newsrx]]></dc:creator><pubDate>Mon, 12 Mar 2018 20:52:18 GMT</pubDate><enclosure url="https://images.ecency.com/p/C3TZR1g81UNchGPKLQuxAL7oEwDJ42cT977qXjChVMhaeqjkhM6ie2vMiBpKiUBYV9fZZrKKxzEynaGmjDDXm6pSo8RCVXm3fzhBet7bKZqfMGyAQbiqYx6?format=match&amp;mode=fit" length="0" type="false"/></item><item><title><![CDATA[Learning to refine depth for robust stereo estimation]]></title><description><![CDATA[By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- Researchers detail new data in Pattern Analysis. According to news originating from Canberra, Australia, by VerticalNews]]></description><link>http://direct.ecency.com/news/@newsrx/learning-to-refine-depth-for-robust-stereo-estimation</link><guid isPermaLink="true">http://direct.ecency.com/news/@newsrx/learning-to-refine-depth-for-robust-stereo-estimation</guid><category><![CDATA[news]]></category><dc:creator><![CDATA[newsrx]]></dc:creator><pubDate>Tue, 09 Jan 2018 12:02:48 GMT</pubDate></item><item><title><![CDATA[Equidistance constrained metric learning for person re-identification]]></title><description><![CDATA[By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- New research on Pattern Analysis is the subject of a report. According to news reporting originating in Hubei, People’s]]></description><link>http://direct.ecency.com/news/@newsrx/equidistance-constrained-metric-learning-for-person-re-identification</link><guid isPermaLink="true">http://direct.ecency.com/news/@newsrx/equidistance-constrained-metric-learning-for-person-re-identification</guid><category><![CDATA[news]]></category><dc:creator><![CDATA[newsrx]]></dc:creator><pubDate>Tue, 09 Jan 2018 11:02:27 GMT</pubDate></item><item><title><![CDATA[Gaussian field consensus: A robust nonparametric matching method for outlier rejection]]></title><description><![CDATA[By a News Reporter-Staff News Editor at Journal of Robotics & Machine Learning -- Current study results on Pattern Analysis have been published. According to news reporting from Shanghai, People’s]]></description><link>http://direct.ecency.com/news/@newsrx/gaussian-field-consensus-a-robust-nonparametric-matching-method-for-outlier-rejection</link><guid isPermaLink="true">http://direct.ecency.com/news/@newsrx/gaussian-field-consensus-a-robust-nonparametric-matching-method-for-outlier-rejection</guid><category><![CDATA[news]]></category><dc:creator><![CDATA[newsrx]]></dc:creator><pubDate>Tue, 09 Jan 2018 00:36:33 GMT</pubDate></item></channel></rss>