Latent variables analysis is an important part of psychometric research. In this context, factor analysis and other related techniques have been widely applied for the investigation of the internal structure of psychometric tests.
Nicola Milano +3 more
doaj +1 more source
Low-Rank Kernel-Based Semisupervised Discriminant Analysis
Semisupervised Discriminant Analysis (SDA) aims at dimensionality reduction with both limited labeled data and copious unlabeled data, but it may fail to discover the intrinsic geometry structure when the data manifold is highly nonlinear.
Baokai Zu +3 more
doaj +1 more source
Alignment-free Visualization of Metagenomic Data by Nonlinear Dimension Reduction [PDF]
Cédric C. Laczny +3 more
openalex +1 more source
Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid +13 more
wiley +1 more source
Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods
Youyi Fong, Jun Xu
openalex +1 more source
Video Analysis Via Nonlinear Dimensionality Reduction [PDF]
In this work we present an application of nonlinear dimensionality reduction techniques for video analysis. We review several methods for dimensionality reduction and then concentrate on the study of Diffusion Maps. First we show how diffusion maps can be applied to video analysis.
openaire +1 more source
Tailoring the Properties of Functional Materials With N‐Oxides
The properties of materials bearing N‐oxide groups are often dominated by the polar N+─O− bond. It provides hydrophilicity, selective ion‐binding, electric conductivity, or antifouling properties. Many of the underlying mechanisms have only recently been discovered, and the interest in N‐oxide materials is rapidly growing.
Timo Friedrich +5 more
wiley +1 more source
Structure-Preserving Nonlinear Sufficient Dimension Reduction for Tensors [PDF]
Dianjun Lin, Bing Li, Lingzhou Xue
openalex +2 more sources
Unsupervised nonlinear dimensionality reduction machine learning methods applied to multiparametric MRI in cerebral ischemia: preliminary results [PDF]
Vishwa S. Parekh +2 more
openalex +1 more source
Strain‐Activated Photo‐Dehalogenation Unlocks Low‐Energy One and Two‐Photon 3D Microfabrication
5,14‐NMI‐Cz acts, conversely to its 7,10‐NMI‐Cz(7,10‐'dibromo‐2‐(2,6‐diisopropylphenyl)‐1H‐benzo[lmn]carbazolo[9,1‐bc][2,8]phenanthroline‐1,3(2H)‐dione) counterpart, as modular photoinitiator with panchromatic photoactivity, featuring a weak C–Br bond from geometric strain for efficient Type I & II initiation. These studies demonstrate applicability of
Kacper Piskorz +10 more
wiley +1 more source

