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» Likelihood Computations Using Value Abstraction
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TSP
2010
13 years 4 months ago
Efficient Maximum Entropy Reconstruction of Nuclear Magnetic Resonance T1-T2 Spectra
Abstract--This paper deals with the reconstruction of T1-T2 correlation spectra in nuclear magnetic resonance relaxometry. The ill-posed character and the large size of this invers...
Emilie Chouzenoux, Saïd Moussaoui, Jér...
DAGM
2009
Springer
14 years 1 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann
FOCS
2009
IEEE
14 years 4 months ago
Symmetry and Approximability of Submodular Maximization Problems
Abstract— A number of recent results on optimization problems involving submodular functions have made use of the ”multilinear relaxation” of the problem [3], [8], [24], [14]...
Jan Vondrák
BROADNETS
2007
IEEE
14 years 4 months ago
Fair bandwidth allocation framework for heterogeneous multi-radio Wireless Mesh Networks
Abstract—To reap the benefits of advances in wireless technologies as well as provide backward compatibility with current investments, future wireless routers that constitute th...
Shree Raman, Aura Ganz, Ramgopal R. Mettu
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 12 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi