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PAM
2005
Springer
14 years 3 months ago
Self-Learning IP Traffic Classification Based on Statistical Flow Characteristics
A number of key areas in IP network engineering, management and surveillance greatly benefit from the ability to dynamically identify traffic flows according to the applications re...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
CCR
2006
114views more  CCR 2006»
13 years 10 months ago
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
Nigel Williams, Sebastian Zander, Grenville J. Arm...
CVPR
2011
IEEE
13 years 5 months ago
FlowBoost - Appearance Learning from Sparsely Annotated Video
We propose a new learning method which exploits temporal consistency to successfully learn a complex appearance model from a sparsely labeled training video. Our approach consists...
Karim Ali, Francois Fleuret, David Hasler
PAMI
2008
134views more  PAMI 2008»
13 years 10 months ago
Bittracker - A Bitmap Tracker for Visual Tracking under Very General Conditions
This paper addresses the problem of visual tracking under very general conditions: a possibly nonrigid target whose appearance may drastically change over time, general camera moti...
Ido Leichter, Michael Lindenbaum, Ehud Rivlin
TVCG
2012
185views Hardware» more  TVCG 2012»
12 years 16 days ago
Tuning Self-Motion Perception in Virtual Reality with Visual Illusions
—Motion perception in immersive virtual environments significantly differs from the real world. For example, previous work has shown that users tend to underestimate travel dista...
Gerd Bruder, Frank Steinicke, Phil Wieland, Markus...