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» Approximate algorithms for neural-Bayesian approaches
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TWC
2010
14 years 4 months ago
Distributed consensus-based demodulation: algorithms and error analysis
This paper deals with distributed demodulation of space-time transmissions of a common message from a multiantenna access point (AP) to a wireless sensor network. Based on local me...
Hao Zhu, Alfonso Cano, Georgios B. Giannakis
MICCAI
2006
Springer
15 years 11 months ago
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan ...
DAC
2000
ACM
15 years 11 months ago
To split or to conjoin: the question in image computation
Image computation is the key step in fixpoint computations that are extensively used in model checking. Two techniques have been used for this step: one based on conjunction of the...
In-Ho Moon, James H. Kukula, Kavita Ravi, Fabio So...
IJON
2008
114views more  IJON 2008»
14 years 10 months ago
A robust model for spatiotemporal dependencies
Real-world data sets such as recordings from functional magnetic resonance imaging often possess both spatial and temporal structure. Here, we propose an algorithm including such ...
Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar...
SIAMSC
2008
179views more  SIAMSC 2008»
14 years 10 months ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros