Sciweavers

239 search results - page 27 / 48
» Random walks in a supply network
Sort
View
ICML
2003
IEEE
14 years 8 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
ICC
2007
IEEE
157views Communications» more  ICC 2007»
14 years 1 months ago
Secure Aggregation in Sensor Networks Using Neighborhood Watch
Abstract— Many sensor networks (SN) use in-network aggregation to minimize the amount of data transmitted by sensors. Unfortunately, aggregation makes the network more vulnerable...
Paul Rabinovich, Robert Simon
ICRA
1994
IEEE
105views Robotics» more  ICRA 1994»
13 years 11 months ago
Harmonic Functions and Collision Probabilities
There is a close relationship between harmonic functions { which have recently been proposed for path planning { and hitting probabilities for random processes. The hitting probab...
Christopher I. Connolly
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
13 years 8 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
ICRA
2009
IEEE
185views Robotics» more  ICRA 2009»
14 years 2 months ago
Ad-hoc wireless network coverage with networked robots that cannot localize
— We study a fully distributed, reactive algorithm for deployment and maintenance of a mobile communication backbone that provides an area around a network gateway with wireless ...
Nikolaus Correll, Jonathan Bachrach, Daniel Vicker...