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» A Framework for Automatic Debugging
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TIP
2008
169views more  TIP 2008»
13 years 7 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht
TOG
2008
197views more  TOG 2008»
13 years 7 months ago
Two-way coupling of fluids to rigid and deformable solids and shells
We propose a novel solid/fluid coupling method that treats the coupled system in a fully implicit manner making it stable for arbitrary time steps, large density ratios, etc. In c...
Avi Robinson-Mosher, Tamar Shinar, Jon Gretarsson,...
CN
2004
95views more  CN 2004»
13 years 7 months ago
Distinguishing between single and multi-source attacks using signal processing
Launching a denial of service (DoS) attack is trivial, but detection and response is a painfully slow and often a manual process. Automatic classification of attacks as single- or...
Alefiya Hussain, John S. Heidemann, Christos Papad...
CIKM
2010
Springer
13 years 6 months ago
You are where you tweet: a content-based approach to geo-locating twitter users
We propose and evaluate a probabilistic framework for estimating a Twitter user’s city-level location based purely on the content of the user’s tweets, even in the absence of ...
Zhiyuan Cheng, James Caverlee, Kyumin Lee
TIP
2010
138views more  TIP 2010»
13 years 5 months ago
Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos
—There has recently been a great deal of interest in the development of algorithms that objectively measure the integrity of video signals. Since video signals are being delivere...
Kalpana Seshadrinathan, Alan C. Bovik