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» Gaussian Belief Propagation Based Multiuser Detection
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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
ICASSP
2009
IEEE
14 years 2 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
TIT
2002
101views more  TIT 2002»
13 years 7 months ago
Large-system performance analysis of blind and group-blind multiuser receivers
We present a large-system performance analysis of blind and group-blind multiuser detection methods. In these methods, the receivers are estimated based on the received signal samp...
Junshan Zhang, Xiaodong Wang
INFOCOM
2005
IEEE
14 years 1 months ago
The effect of DNS delays on worm propagation in an IPv6 Internet
— It is a commonly held belief that IPv6 provides greater security against random-scanning worms by virtue of a very sparse address space. We show that an intelligent worm can ex...
Abhinav Kamra, Hanhua Feng, Vishal Misra, Angelos ...
TIP
2008
86views more  TIP 2008»
13 years 7 months ago
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects
We propose a principled framework for recursively segmenting deformable objects across a sequence of frames. We demonstrate the usefulness of this method on left ventricular segmen...
Walter Sun, Müjdat Çetin, Raymond C. C...