@electronic{github.com,
   title       = {mpillar/java-emotion-recognizer · GitHub}, 
   url         = {https://github.com/mpillar/java-emotion-recognizer},
   biburl      = {https://puma.uni-kassel.de/url/a40b98d5e9d93a35e09c50a041fd2ea5/hotho},
   keywords    = {automatic everyaware facial human image mood person recognition subjective},
   added-at    = {2015-03-06T14:13:13.000+0100},
   description = {java-emotion-recognizer - Java emotion recognition engine. Given training data and an input image, JEmotionRec can guess the emotion being conveyed with reasonable accuracy.},
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@electronic{www.shervinemami.info,
   title       = {Face Detection and Face Recognition with Real-time Training from a Camera}, 
   url         = {http://www.shervinemami.info/faceRecognition.html},
   biburl      = {https://puma.uni-kassel.de/url/986460e874a1f90df36a570e55b9a247/seboettg},
   keywords    = {detection face-detection face-recognition recognition rpi training},
   added-at    = {2014-06-22T15:28:25.000+0200},
   description = {How to detect and recognize a person from their face from a webcam using OpenCV, including real-time online training},
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   intrahash   = {986460e874a1f90df36a570e55b9a247}
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@electronic{through-the-interface.typepad.com,
   title       = {Creating a face-recognising security cam with a Raspberry Pi Part 1 - Through the Interface}, 
   url         = {http://through-the-interface.typepad.com/through_the_interface/2012/09/creating-a-face-recognising-security-cam-with-a-raspberry-pi-part-1.html},
   biburl      = {https://puma.uni-kassel.de/url/39c6e65fb9a2bc67158b36e0db084109/seboettg},
   keywords    = {cam face-recognition raspberrypi recognising recognition rpi security},
   added-at    = {2014-06-22T13:07:16.000+0200},
   description = {This series of posts builds upon the mini-series on building a motion-detecting security cam based around the Raspberry Pi. Once you have your motion detecting security cam up and running, you should be able to move on to the next...},
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   intrahash   = {39c6e65fb9a2bc67158b36e0db084109}
}

@electronic{thinkrpi.wordpress.com,
   title       = {OpenCV and Pi Camera Board ! | Think RPI}, 
   url         = {http://thinkrpi.wordpress.com/2013/05/22/opencv-and-camera-board-csi/},
   biburl      = {https://puma.uni-kassel.de/url/236c132177b2bdb2f4fd1b3545f17271/seboettg},
   keywords    = {face-recognition image-recognition opencv raspberrypi recognition rpi},
   added-at    = {2014-06-21T13:02:44.000+0200},
   description = {Congratulation !, you've got your new rasperry pi camera ! Isn't-it cute ? But after first try, you discover that it's not an usb-webcam. :-( Thus, OpenCV doesn't work natively. (forget cvCaptureFromCAM for example and all your wonderful apps you've thought up !) However, some nice apps (such as raspivid or raspistill) controls  the pi…},
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   intrahash   = {236c132177b2bdb2f4fd1b3545f17271}
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@electronic{github.com,
   title       = {javacv/README.md at master · bytedeco/javacv}, 
   url         = {https://github.com/bytedeco/javacv/blob/master/README.md},
   biburl      = {https://puma.uni-kassel.de/url/ec6ece18dcc92bcde4f5b41fc7350996/seboettg},
   keywords    = {face face-recognition java opencv recognition},
   added-at    = {2014-06-08T01:46:13.000+0200},
   description = {javacv - Java interface to OpenCV and more},
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   intrahash   = {ec6ece18dcc92bcde4f5b41fc7350996}
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@electronic{detexify.kirelabs.org,
   title       = {Detexify LaTeX handwritten symbol recognition}, 
   url         = {http://detexify.kirelabs.org/classify.html},
   biburl      = {https://puma.uni-kassel.de/url/d2df45daa276565fb2f9becd783c1757/benz},
   keywords    = {classifier latex recognition symbol},
   added-at    = {2011-02-04T16:08:03.000+0100},
   description = {},
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   intrahash   = {d2df45daa276565fb2f9becd783c1757}
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@electronic{noisetube.net,
   title       = {::NoiseTube::}, 
   url         = {http://noisetube.net/},
   biburl      = {https://puma.uni-kassel.de/url/6f7ad47745a7c904b5e9f9898e398bd6/hotho},
   keywords    = {everyaware ht09 noise noisetube presentation recognition sony tools},
   added-at    = {2009-06-29T12:17:40.000+0200},
   description = {},
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   intrahash   = {6f7ad47745a7c904b5e9f9898e398bd6}
}

@electronic{www.opencalais.com,
   title       = {Home | OpenCalais}, 
   url         = {http://www.opencalais.com/},
   biburl      = {https://puma.uni-kassel.de/url/7b62a4673480a942dfdcec6f9d1ecb2d/hotho},
   keywords    = {nlp ol recognition relation semantic tools},
   added-at    = {2008-11-26T13:26:52.000+0100},
   description = {},
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