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144
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ICASSP
2009
IEEE
16 years 17 days ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...
175
Voted
GLOBECOM
2007
IEEE
16 years 4 days ago
Gaussian Approximations for Carrier Sense Modeling in Wireless Ad Hoc Networks
— Physical carrier sense for wireless multihop networks has attracted a certain degree of attention since it is a simple yet important mechanism for distributed channel access. S...
Francesco Rossetto, Michele Zorzi
162
Voted
ICAISC
2004
Springer
15 years 11 months ago
Visualizing and Analyzing Multidimensional Output from MLP Networks via Barycentric Projections
Barycentric plotting, achieved by placing gaussian kernels in distant corners of the feature space and projecting multidimensional output of neural network on a plane, provides inf...
Filip Piekniewski, Leszek Rybicki
ICASSP
2011
IEEE
14 years 9 months ago
Distributed Gaussian particle filtering using likelihood consensus
We propose a distributed implementation of the Gaussian particle filter (GPF) for use in a wireless sensor network. Each sensor runs a local GPF that computes a global state esti...
Ondrej Hlinka, Ondrej Sluciak, Franz Hlawatsch, Pe...
197
Voted
ICDCS
2009
IEEE
15 years 3 months ago
Multicast Throughput of Hybrid Wireless Networks Under Gaussian Channel Model
We study the multicast capacity for hybrid wireless networks consisting of ordinary wireless nodes and base stations under Gaussian Channel model, which generalizes both the unica...
Cheng Wang, ShaoJie Tang, Xiang-Yang Li, Changjun ...