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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=hmm">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=hmm]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for hmm]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/150/Activity-recognition-from-RFID-sensor-data"/>
      <rdf:li resource="http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/851/Anomaly-Detection-Models-for-Smart-Home-Security"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/548/Content-based-prediction-of-temporal-boundaries-for-events-in-Twitter"/>
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 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/150/Activity-recognition-from-RFID-sensor-data">
  <title><![CDATA[Activity recognition from RFID sensor data]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/150/Activity-recognition-from-RFID-sensor-data</link>
  <description><![CDATA[As the population ages tools for aiding in the care of elderly become increasingly valuable. There is a need for a suite of tools that monitor senior citizens, help them through their day, and alert others if they need help. Several good techniques for creating systems that assist senior citizens have emerged. What all such computer systems lack is a good way to determine what a person is actually doing. Entering every task that a person does into a computer is time consuming and not practica...]]></description>
  <dc:date>2005-09-25</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF">
  <title><![CDATA[ArRf - Activity Recognition with RF]]></title>
  <link>http://ebiquity.umbc.edu/project/html/id/71/ArRf-Activity-Recognition-with-RF</link>
  <description><![CDATA[As the population ages tools for aiding in the care of elderly become increasingly valuable.  There is a need for a suite of tools that monitor senior citizens, help them through their day, and alert others if they need help.  Several good techniques for creating systems that assist senior citizens have emerged.  What all such computer systems lack is a good way to determine what a person is actually doing.  Entering every task that a person does into a computer is time consuming and not prac...]]></description>
  <dc:date>2005-09-01</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/851/Anomaly-Detection-Models-for-Smart-Home-Security">
  <title><![CDATA[Anomaly Detection Models for Smart Home Security]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/851/Anomaly-Detection-Models-for-Smart-Home-Security</link>
  <description><![CDATA[Recent years have seen significant growth in the adoption of smart homes devices. These devices provide convenience, security, and energy efficiency to users. For example, smart security cameras can detect unauthorized movements, and smoke sensors can detect potential fire accidents. However, many recent examples have shown that they open up a new cyber threat surface. There have been several recent examples of smart devices being hacked for privacy violations and also misused so as to perfor...]]></description>
  <dc:date>2019-04-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/548/Content-based-prediction-of-temporal-boundaries-for-events-in-Twitter">
  <title><![CDATA[Content-based prediction of temporal boundaries for events in Twitter]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/548/Content-based-prediction-of-temporal-boundaries-for-events-in-Twitter</link>
  <description><![CDATA[Social media services like Twitter, Flickr and YouTube publish high volumes of user generated content as a major event occurs, making them a potential data source for event analysis. The large volume and noisy content of social media makes automatic preprocessing essential. Intuitively, the eventrelated data falls into three major phases: the buildup to the event, the event itself, and the post-event effects and repercussions.  We describe an approach to automatically determine when an antici...]]></description>
  <dc:date>2011-10-09</dc:date>
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