Results 11 to 20 of about 35,609 (308)
, 2019 With increasingly many variables available to macroeconomic forecasters, dimension reduction methods are essential to obtain accurate forecasts. Subspace methods are a new class of dimension reduction methods that have been found to yield precise forecasts when applied to macroeconomic and financial data.
Boot, Tom, Nibbering, Didier
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Subspace Recycling--Based Regularization Methods [PDF]
SIAM Journal on Matrix Analysis and Applications, 2021 Subspace recycling techniques have been used quite successfully for the acceleration of iterative methods for solving large-scale linear systems. These methods often work by augmenting a solution subspace generated iteratively by a known algorithm with a fixed subspace of vectors which are ``useful'' for solving the problem.
Ronny Ramlau +2 more
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Structure-Constrained Symmetric Low-Rank Representation Algorithm for Subspace Clustering [PDF]
Jisuanji gongcheng, 2021 The potential subspace structure of high-dimensional data can be obtained by using subspace clustering,but the existing methods can not reveal the characteristics of global low-rank structure and local sparse structure of data at the same time,which ...
TAO Yang, BAO Linglang, HU Hao
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On the Deep Active-Subspace Method
SIAM/ASA Journal on Uncertainty Quantification, 2023 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Cone-restricted subspace methods [PDF]
2008 19th International Conference on Pattern Recognition, 2008 In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper, we propose cone-restricted subspace methods. The proposed methods admit the scaling and additivity of vectors as well as ordinary subspace methods; in addition, vectors can ...
Takumi Kobayashi 0001, Nobuyuki Otsu
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Efficient Malware Analysis Using Subspace-Based Methods on Representative Image Patterns
IEEE Access, 2023 In this paper, we propose a new framework for classifying and visualizing malware files using subspace-based methods. The rise of advanced malware poses a significant threat to internet security, increasing the pressure on traditional cybersecurity ...
Djafer Yahia M Benchadi +2 more
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CS Decomposition Based Bayesian Subspace Estimation [PDF]
, 2012 In numerous applications, it is required to estimate the principal subspace of the data, possibly from a very limited number of samples. Additionally, it often occurs that some rough knowledge about this subspace is available and could be used to improve
Besson, Olivier +2 more
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Hyperspectral Band Selection via Optimal Combination Strategy
Remote Sensing, 2022 Band selection is one of the main methods of reducing the number of dimensions in a hyperspectral image. Recently, various methods have been proposed to address this issue.
Shuying Li +3 more
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Bootstrap methods in selection of the discriminant subspace
Lietuvos Matematikos Rinkinys, 2000 There is not abstract.
Gintautas Jakimauskas +1 more
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Kron’s method of subspaces [PDF]
Quarterly of Applied Mathematics, 1944 Not ...
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