Results 121 to 130 of about 4,379,261 (288)
Dimensionality Reduction and Feature Selection using a Mixed-norm Penalty Function
, 2006 Dimensionality reduction, which is the process of mapping high-dimension patterns to lower dimension subspaces, is a key issues in enhancing the processing efficiency of high dimensional data such as hyperspectral images.
Zeng, Huiwen
core
Multi-Modal Learning With Generalizable Nonlinear Dimensionality Reduction
, 2019 In practical machine learning settings, there often exist relations or links between data from different modalities. The goal of multimodal learning algorithms is to efficiently use the information available in different modalities to solve multi-modal ...
Semih Kaya +3 more
core +1 more source
Molecularly Dissipative Liquid Crystal Elastomer Foams for Impact and Vibration Attenuation
Advanced Functional Materials, EarlyView.Liquid crystal elastomer foams integrate cellular deformation with mesogen reorientation to create a dual‐scale energy dissipation mechanism. Progressive pore collapse absorbs mechanical loads, while stress‐induced mesogen reorientation provides additional damping, resulting in reduced impact transmission and broadband suppression of vibrational ...
Subi Choi +5 more
wiley +1 more source
Defect‐Mediated Inelastic Light Scattering by Infrared Phonons in Hexagonal Boron Nitride
Advanced Functional Materials, EarlyView.Optically active defects in hexagonal boron nitride enable inelastic stimulated light scattering mediated by infrared‐active phonons, relaxing conventional Raman selection rules. Defect engineering enhances the Stokes‐conversion process and activates both TO‐ and LO‐phonon scattering channels.
Prabhdeep Singh +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Further advances in applications can be anticipated through the development of unique and functional materials beyond conventional alloys. Nitrogen enables tailor‐made orbital textures in various transition‐metal hosts, paving the way for devices ranging from spintronics memory to artificial intelligence hardware.
Prabhat Kumar +3 more
wiley +1 more source
A tractable latent variable model for nonlinear dimensionality reduction. [PDF]
Proc Natl Acad Sci U S A, 2020 Saul LK.
europepmc +1 more source
Nonlinear dimensionality reduction of gene expression data [Elektronisk resurs]
, 2006 Using microarray measurements techniques, it is possible to measure the activity of genes simultaneously across the whole genome. Since genes influence each others activity levels through complex regulatory networks, such gene expression measurements are
Nilsson, Jens,, Lund University.
core
Unexpected Asymmetric Mn‐Sb Site Mixing and Reentrant Spin‐Glass State of MnSb2Te4
Advanced Functional Materials, EarlyView.MnSb2Te4 is an intrinsic magnetic topological insulator. Its properties are extraordinarily sensitive to tiny defects, making structural studies essential for understanding how magnetism and topology work together. This work shows that Mn can be unevenly distributed within the crystal and how that disorder is linked to a newly reported spin‐glass state
Gustavo Chavez Ponce de Leon +7 more
wiley +1 more source
Behavioral SciencesLatent 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
Advanced Functional Materials, EarlyView.An amphiphilic GOx nanoamphizyme was constructed by covalently introducing hydrophobic PPNI linkers onto GOx, enabling spontaneous self‐assembly into tunable nanoparticles. Mild crosslinking further stabilized the assemblies and enhanced catalytic performance and stability.
Yuan‐Hao Hsiao +4 more
wiley +1 more source