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CVPR
2011
IEEE
15 years 4 days ago
Distributed Message Passing for Large Scale Graphical Models
In this paper we propose a distributed message-passing algorithm for inference in large scale graphical models. Our method can handle large problems efficiently by distributing a...
Alexander Schwing, Hazan Tamir, Marc Pollefeys, Ra...
142
Voted
TC
2011
14 years 9 months ago
Complexity of Data Collection, Aggregation, and Selection for Wireless Sensor Networks
— Processing the gathered information efficiently is a key functionality for wireless sensor networks. In this article, we study the time complexity, message complexity (number ...
Xiang-Yang Li, Yajun Wang, Yu Wang
106
Voted
JMLR
2010
163views more  JMLR 2010»
14 years 9 months ago
Active Sequential Learning with Tactile Feedback
We consider the problem of tactile discrimination, with the goal of estimating an underlying state parameter in a sequential setting. If the data is continuous and highdimensional...
Hannes Saal, Jo-Anne Ting, Sethu Vijayakumar
161
Voted
JMLR
2010
163views more  JMLR 2010»
14 years 9 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
96
Voted
TITB
2010
77views Education» more  TITB 2010»
14 years 9 months ago
Automatic detection of bioabsorbable coronary stents in IVUS images using a cascade of classifiers
Bioabsorbable drug-eluting coronary stents present a very promising improvement to the common metallic ones solving some of the most important problems of stent implantation: the l...
David Rotger, Petia Radeva, Nico Bruining