Results 21 to 30 of about 2,532,241 (263)
Neuroelectric source localization by random spatial sampling [PDF]
The magnetoencephalography (MEG) aims at reconstructing the unknown neuroelectric activity in the brain from the measurements of the neuromagnetic field in the outer space.
PITOLLI, Francesca, POCCI, CRISTINA
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The consolidation process, where a group of enterprises is presented as a single one, is prescribed by international accounting standards, and in accordance with them it has been taken over by Slovenian accounting standards and International Public ...
Jasna Ida Zafred
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Random Sampling Many-Dimensional Sets Arising in Control
Various Monte Carlo techniques for random point generation over sets of interest are widely used in many areas of computational mathematics, optimization, data processing, etc.
Pavel Shcherbakov +2 more
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Local Access to Huge Random Objects Through Partial Sampling [PDF]
© Amartya Shankha Biswas, Ronitt Rubinfeld, and Anak Yodpinyanee. Consider an algorithm performing a computation on a huge random object (for example a random graph or a “long” random walk).
Biswas, Amartya Shankha +2 more
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An Inverse-Occurrence Sampling Approach for Urban Flood Susceptibility Mapping
Data-driven flood susceptibility modeling is an efficient way to map the spatial distribution of flood likelihood. The quality of the flood susceptibility model relies on the learning technique and the data used for learning.
Changpeng Wang +5 more
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In this article, input-to-state stability (ISS) and stabilization are examined for sampled-data systems under deterministic aperiodic sampling and random sampling, respectively.
Ping Zhao, Ben Niu, Wei Feng, Zhiguo Yan
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Location-Scale Matching for Approximate Quasi-Order Sampling
Quasi-orders are reflexive and transitive binary relations and have many applications. Examples are the dependencies of mastery among the problems of a psychological test, or methods such as item tree or Boolean analysis that mine for quasi-orders in ...
Ali Ünlü, Martin Schrepp
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Sampling Geometric Inhomogeneous Random Graphs in Linear Time [PDF]
Real-world networks, like social networks or the internet infrastructure, have structural properties such as large clustering coefficients that can best be described in terms of an underlying geometry.
Bringmann, Karl +2 more
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Group representations that resist random sampling [PDF]
We show that there exists a family of groups $G_n$ and nontrivial irreducible representations $\rho_n$ such that, for any constant $t$, the average of $\rho_n$ over $t$ uniformly random elements $g_1, \ldots, g_t \in G_n$ has operator norm $1$ with ...
Lovett, Shachar +2 more
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A Novel Particle Filter Based on Hybrid Deterministic and Random Sampling
Particle filters are vital tools to solve the nonlinear/non-Gaussian filtering problems. However, it suffers from the problems of sample degeneracy and impoverishment.
Feng Yang, Litao Zheng, Yujuan Luo
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