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NOMS
2010
IEEE
134views Communications» more  NOMS 2010»
14 years 10 months ago
Packet sampling for worm and botnet detection in TCP connections
—Malware and botnets pose a steady and growing threat to network security. Therefore, packet analysis systems examine network traffic to detect active botnets and spreading worm...
Lothar Braun, Gerhard Münz, Georg Carle
VTC
2010
IEEE
124views Communications» more  VTC 2010»
14 years 10 months ago
A Novel Sampling Method for the Spatial Frequencies of Sinusoid-Based Shadowing Models
Abstract—Careful modeling of the radio channel characteristics is an important issue for system level simulations. While a number of detailed path loss, shadowing and fast fading...
Siegfried Klein, Serkan Uygungelen, Christian M. M...
CGF
2010
153views more  CGF 2010»
14 years 12 months ago
Localized Delaunay Refinement for Sampling and Meshing
The technique of Delaunay refinement has been recognized as a versatile tool to generate Delaunay meshes of a variety of geometries. Despite its usefulness, it suffers from one la...
Tamal K. Dey, Joshua A. Levine, A. Slatton
ECCV
2006
Springer
16 years 1 months ago
Sampling Strategies for Bag-of-Features Image Classification
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...
Eric Nowak, Frédéric Jurie, Bill Tri...
DMIN
2007
186views Data Mining» more  DMIN 2007»
15 years 1 months ago
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
Gary M. Weiss, Kate McCarthy, Bibi Zabar