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» Dynamic and Static Influence Models on Starbucks Networks
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IJON
2002
120views more  IJON 2002»
14 years 9 months ago
The recognition and analysis of animate objects using neural networks and active contour models
: In this paper we describe a method for tracking walking humans in the visual field. Active contour models are used to track moving objects in a sequence of images. The resulting ...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
ATMOS
2010
169views Optimization» more  ATMOS 2010»
14 years 7 months ago
Traffic Signal Optimization Using Cyclically Expanded Networks
Traditionally, the coordination of multiple traffic signals and the traffic assignment problem in an urban street network are considered as two separate optimization problems. How...
Ekkehard Köhler, Martin Strehler
ASUNAM
2010
IEEE
14 years 11 months ago
Tracking the Evolution of Communities in Dynamic Social Networks
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
Derek Greene, Dónal Doyle, Padraig Cunningh...
IADIS
2003
14 years 11 months ago
Service Capabilities Model for Next Generation Ad Hoc Networks
Next generation networks are commonly associated with open service creation environments such as OSA, Parlay or JAIN. These environments make the capabilities provided by telecomm...
Mario Muñoz
MVA
2000
172views Computer Vision» more  MVA 2000»
14 years 11 months ago
Partial Face Extraction and Recognition Using Radial Basis Function Networks
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
Nan He, Kiminori Sato, Yukitoshi Takahashi