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ICML
2003
IEEE
14 years 11 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
INFOCOM
2009
IEEE
14 years 4 months ago
Lightweight Coloring and Desynchronization for Networks
—We study the distributed desynchronization problem for graphs with arbitrary topology. Motivated by the severe computational limitations of sensor networks, we present a randomi...
Arik Motskin, Tim Roughgarden, Primoz Skraba, Leon...
IJCV
2008
172views more  IJCV 2008»
13 years 9 months ago
Nonparametric Bayesian Image Segmentation
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
Peter Orbanz, Joachim M. Buhmann
BIBE
2006
IEEE
160views Bioinformatics» more  BIBE 2006»
14 years 4 months ago
Methods for Random Modularization of Biological Networks
— Biological networks are formalized summaries of our knowledge about interactions among biological system components, like genes, proteins, or metabolites. From their global top...
Zachary M. Saul, Vladimir Filkov
IJCV
2002
172views more  IJCV 2002»
13 years 10 months ago
Using Multiple-Hypothesis Disparity Maps and Image Velocity for 3-D Motion Estimation
In this paper we explore a multiple hypothesis approach to estimating rigid motion from a moving stereo rig. More precisely, we introduce the use of Gaussian mixtures to model cor...
David Demirdjian, Trevor Darrell