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» Using self-dissimilarity to quantify complexity
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PST
2004
15 years 2 months ago
A novel visualization technique for network anomaly detection
Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
Iosif-Viorel Onut, Bin Zhu, Ali A. Ghorbani
COMPUTER
2002
129views more  COMPUTER 2002»
15 years 1 months ago
Networks on Chips: A New SoC Paradigm
of abstraction and coarse granularity and distributed communication control. Focusing on using probabilistic metrics such as average values or variance to quantify design objective...
Luca Benini, Giovanni De Micheli
ICASSP
2011
IEEE
14 years 5 months ago
Online anomaly detection with expert system feedback in social networks
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
Corinne Horn, Rebecca Willett
CICLING
2012
Springer
13 years 9 months ago
Core-Periphery Organization of Graphemes in Written Sequences: Decreasing Positional Rigidity with Increasing Core Order
The positional rigidity of graphemes (as well as words considered as single units) in written sequences has been analyzed in this paper using complex network methodology. In partic...
Md. Izhar Ashraf, Sitabhra Sinha
CVPR
2007
IEEE
16 years 3 months ago
A Linear Programming Approach for Multiple Object Tracking
We propose a linear programming relaxation scheme for the class of multiple object tracking problems where the inter-object interaction metric is convex and the intraobject term q...
Hao Jiang, Sidney Fels, James J. Little