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» Selectivity estimation in spatial networks
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CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
NN
2010
Springer
183views Neural Networks» more  NN 2010»
13 years 8 months ago
Dimensionality reduction for density ratio estimation in high-dimensional spaces
The ratio of two probability density functions is becoming a quantity of interest these days in the machine learning and data mining communities since it can be used for various d...
Masashi Sugiyama, Motoaki Kawanabe, Pui Ling Chui
JCNS
2002
99views more  JCNS 2002»
13 years 9 months ago
Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli
We present a reduction of a large-scale network model of visual cortex developed by McLaughlin, Shapley, Shelley, and Wielaard. The reduction is from many integrate-and-fire neuron...
Michael Shelley, David McLaughlin
GLOBECOM
2007
IEEE
14 years 4 months ago
NetForecast: A Delay Prediction Scheme for Provider Controlled Networks
— Over the last years, the Internet has evolved towards becoming the dominant platform for deploying real time and multimedia services. This evolution has had as a consequence th...
Ahmed Elmokashfi, Michael Kleis, Adrian Popescu
VTC
2010
IEEE
180views Communications» more  VTC 2010»
13 years 8 months ago
Analysis of Enhanced Deployment Models for Sensor Networks
Abstract—We present the estimation and evaluation of deployment models for sensor networks that exploit different amounts of a priori information. Topologies generated from the m...
Frank Oldewurtel, Petri Mähönen