Results 131 to 140 of about 478,588 (342)
Dimensionality Reduction Ensembles [PDF]
arXiv, 2017 Ensemble learning has had many successes in supervised learning, but it has been rare in unsupervised learning and dimensionality reduction. This study explores dimensionality reduction ensembles, using principal component analysis and manifold learning techniques to capture linear, nonlinear, local, and global features in the original dataset ...
arxiv
Principal Manifolds and Nonlinear Dimensionality Reduction via Tangent Space Alignment [PDF]
, 2004 Zhenyue Zhang, Hongyuan Zha
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Mechanical Metamaterials for Bioengineering: In Vitro, Wearable, and Implantable Applications
Advanced Engineering Materials, EarlyView.Mechanical metamaterials with engineered architectures exhibit properties that differ from and greatly surpass those of their constituent bulk materials. This review summarizes the applications of mechanical metamaterials in bioengineering, focusing on advances in the last 5 years.
Madihah Kazim +2 more
wiley +1 more source
Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy [PDF]
arXivExisting model reduction techniques for high-dimensional models of conservative partial differential equations (PDEs) encounter computational bottlenecks when dealing with systems featuring non-polynomial nonlinearities. This work presents a nonlinear model reduction method that employs lifting variable transformations to derive structure-preserving ...
arxiv
Transformed Central Quantile Subspace [PDF]
arXiv, 2019 Quantile regression (QR) is becoming increasingly popular due to its relevance in many scientific investigations. However, application of QR can become very challenging when dealing with high-dimensional data, making it necessary to use dimension reduction techniques. Existing dimension reduction techniques focus on the entire conditional distribution.
arxiv
Nonlinear dimensionality reduction for classification using kernel weighted subspace method [PDF]
, 2005 Guang Dai, Dit–Yan Yeung
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Nonlinearity and Domain Switching in a 3D‐Printed Architected Ferroelectric
Advanced Engineering Materials, EarlyView.By combining functional properties measurement with in situ 2D X‐ray microdiffraction experiments, it is shown that nonlinear polarization and strain responses of a 3D‐printed architected ferroelectric are driven by localized progression of domain switching, which depends on nonuniform electric‐field distribution as well as evolving stress fields.
Abhijit Pramanick +7 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong +11 more
wiley +1 more source
Nonlinear Dimensionality Reduction Methods in Climate Data Analysis [PDF]
arXiv, 2009 Linear dimensionality reduction techniques, notably principal component analysis, are widely used in climate data analysis as a means to aid in the interpretation of datasets of high dimensionality. These linear methods may not be appropriate for the analysis of data arising from nonlinear processes occurring in the climate system.
arxiv
New Journal of Physics, 2019 Several studies have proposed constraints under which a low-dimensional representation can be derived from large-scale real-world networks exhibiting complex nonlinear dynamics.
Shrey Dutta +2 more
doaj +1 more source