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» Detecting Anomalies in Graphs
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BMVC
2010
14 years 11 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler
120
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IJISTA
2008
87views more  IJISTA 2008»
15 years 4 months ago
On fusion of range and intensity information using Graph-Cut for planar patch segmentation
: Planar patch detection aims at simplifying data from 3-D imaging sensors to a more compact scene description. We propose a fusion of intensity and depth information using Graph-C...
Olaf Kähler, Erik Rodner, Joachim Denzler
AHSWN
2006
206views more  AHSWN 2006»
15 years 4 months ago
Zone-Based Intrusion Detection for Mobile Ad Hoc Networks
ABSTRACT Intrusion Detection Systems (IDSs) for Mobile Ad hoc NETworks (MANETs) are indispensable since traditional intrusion prevention based techniques are not strong enough to p...
Bo Sun, Kui Wu, Udo W. Pooch
AVI
2008
15 years 5 months ago
Visualizing program similarity in the Ac plagiarism detection system
Programming assignments are easy to plagiarize in such a way as to foil casual reading by graders. Graders can resort to automatic plagiarism detection systems, which can generate...
Manuel Freire
NIPS
2004
15 years 6 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...