Low rank Gaussian process smoothsSimon N. Wood
A Low Rank Gaussian Process Prediction Model for Very Large Datasets Spatial prediction requires expensive computation to invert the spatial covariance matrix it depends on and also has considerable storage needs. This work concentrates on computationally efficient algorithms for prediction using very lar....
因此,借鉴混沌时间序列分析的思想,同时利用暂态信号的Low-rank特性,该文提出了一种基于暂态信号混沌吸引子重构和Low-rank聚类的跳频信号电台分选算法。实验测试表明:跳频电台的暂态信号时间序列属于混沌时间序列,同时实测多跳频信号的电台分选结果证明了Low-rank聚类算法在跳频电台分选上的可行性。关键词:跳频电台/暂态信号...
Here the so-called low-rank sparse stochastic Galerkin method [52,67] and tensorial algebra as provided in [35] were used. The direct Bayesian update method is tested on the example introduced in Section 6, defined on a bounded L-shaped domain. Show abstract Iterative solution of large ...
Deblurring Natural Image Using Super-Gaussian Fields Yuhang Liu, Wuhan University; Wenyong Dong*, Wuhan University; Dong Gong, Northwestern Polytechnical University & The University of Adelaide; Lei Zhang, The unversity of Adelaide; Qinfeng Shi, University of Adelaide ...
In this section, we extend our results to low-rank Hankel matrix reconstruction and low-rank Toeplitz matrix reconstruction from their Gaussian measurements. Since the proof of Theorem 1 does not use the specific property that yˆ is an exponential signal, Theorem 1 holds true for any low-ran...
Automatic Color Image Stitching Using Quaternion Rank-1 Alignment Paper: CVPR 2022 Open Access Repository Geometric Structure Preserving Warp for Natural Image Stitching Paper: CVPR 2022 Open Access Repository Image Compression – image compression Neural Data-Dependent Transform for Learned Image Compress...
process_video.m run_algorithm.m README Last Page Update:29/07/2022, Previous Page Update:07/03/2020 Latest Library Version:1.0.11(see Release Notes for more info) LRSLibrary Low-Rank and Sparsetools for Background Modeling and Subtraction in Videos. ...
MoG-RPCA: Mixture of Gaussians RPCA(Zhao et al. 2014)website noncvxRPCA: Robust PCA via Nonconvex Rank Approximation(Kang et al. 2015) NSA1: Non-Smooth Augmented Lagrangian v1(Aybat et al. 2011) NSA2: Non-Smooth Augmented Lagrangian v2(Aybat et al. 2011) ...
Process for equalizing a signal received in a receiver of a Terminal Equipment in a wireless communication system, said process comprises the steps of:—receiving a signal r—applying an iterative algorithm based on a sequence of varying preconditionners in accordance with the following formula: base...