Results 11 to 20 of about 724,897 (308)
Scholarpedia, 2008 The(frequently updated) original version is avalable at http://www.scholarpedia.org/article ...
Peter Földiák, Dominik M. Endres
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Frontiers in Human Neuroscience, 2014 Entrained behavior coordinates, predicts, and modulates multi-scale rhythmic gestures with high spatio-temporal precision even as it shows flexible adaptation in response to perturbation (Clayton et al., 2005; Altenmuller et al., 2006; Phillips-Silver et al., 2010).
Eric eBarnhill, Eric eBarnhill
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Sparse Convolution for Approximate Sparse Instance
CoRR, 2023 Computing the convolution $A \star B$ of two vectors of dimension $n$ is one of the most important computational primitives in many fields. For the non-negative convolution scenario, the classical solution is to leverage the Fast Fourier Transform whose time complexity is $O(n \log n)$.
Xiaoxiao Li +2 more
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Deterministic sparse FFT for M-sparse vectors [PDF]
Numerical Algorithms, 2017 In this interesting paper, the authors present a new deterministic sparse (inverse) fast Fourier transform (FFT), where the resulting vector \(\mathbf x \in {\mathbb C}^N\) with \(N = 2^J\) is \(M\)-sparse, i.e., \(\mathbf x\) contains only \(M\) nonzero components. This new algorithm which generalizes the sparse FFT of \textit{G. Plonka} and \textit{K.
Gerlind Plonka +3 more
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Computational Linguistics, 2021 AbstractThe transcription bottleneck is often cited as a major obstacle for efforts to document the world’s endangered languages and supply them with language technologies. One solution is to extend methods from automatic speech recognition and machine translation, and recruit linguists to provide narrow phonetic transcriptions and sentence-aligned ...
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CederGroupHub/sparse-lm: v0.3.0
, 2023 What's Changed unit tests by @lbluque in https://github.com/CederGroupHub/sparse-lm/pull/66 Full Changelog: https://github.com/CederGroupHub/sparse-lm/compare/v0.3.0...v0.3.
Peichen Zhong +4 more
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Local-Sample-Weighted Clustering Ensemble with High-Order Graph Diffusion
Mathematics, 2023 The clustering ensemble method has attracted much attention because it can improve the stability and robustness of single clustering methods. Among them, similarity-matrix-based methods or graph-based methods have had a wide range of applications in ...
Jianwen Gan, Yunhui Liang, Liang Du
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International Journal of Technology, 2020 Cancer is one of the leading causes of death, and the brain is one of the body’s cancer-prone organs. The early detection of brain tumors can reduce cancer risk, which is practically assisted and conducted using scanners such as computed ...
Hermawan Rahman Sholeh +2 more
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Analysis of a Simulated Optical GSO Survey Observation for the Effective Maintenance of the Catalogued Satellites and the Orbit Determination Strategy [PDF]
Journal of Astronomy and Space Sciences, 2015 A strategy is needed for a regional survey of geosynchronous orbits (GSOs) to monitor known space objects and detect uncataloged space objects. On the basis of the Inter-Agency Debris Committee’s recommendation regarding the protected region of ...
Jin Choi +8 more
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Sparse Sparse Bundle Adjustment [PDF]
Procedings of the British Machine Vision Conference 2010, 2010 Sparse Bundle Adjustment (SBA) is a method for simultaneously optimizing a set of camera poses and visible points. It exploits the sparse primary structure of the problem, where connections exist just between points and cameras. In this paper, we implement an efficient version of SBA for systems where the secondary structure (relations among cameras ...
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