Results 91 to 100 of about 249,242 (319)
Remote Sensing, 2019 Dimensionality reduction is of great importance which aims at reducing the spectral dimensionality while keeping the desirable intrinsic structure information of hyperspectral images. Tensor analysis which can retain both spatial and spectral information
Jinliang An +4 more
doaj +1 more source
Tensor Decomposition for Fast Parsing with Latent-Variable PCFGs
, 2012 We describe an approach to speed-up inference with latent-variable PCFGs, whichhave been shown to be highly effective for natural language parsing. Our approachis based on a tensor formulation recently introduced for spectral estimation oflatent-variable
Collins, Michael, Cohen, Shay
core
A Local Structure Measure for Anisotropic Regularization of Tensor Fields
, 2006 Acquisition systems are not fully reliable since any real sensor will provide noisy and possibly incomplete and degraded data. Therefore, in tensor measurements, all problems dealt with in conventional multidimensional statistical signal processing are ...
Castanõ-Moraga, C. +9 more
core +1 more source
Non-Abelian Tensor Network Methods for Many-body Quantum Systems [PDF]
, 2022 openNon-Abelian symmetries are one of the more challenging forms of symmetries to be used in tensor network methods. Their promised advantages in terms of accessible physical phenomena and computational scaling makes them a meaningful tool for many-body ...
CARMONA GOMEZ, JAVIER GERARDO
core
Advanced Engineering Materials, EarlyView.A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora +4 more
wiley +1 more source
Spatial transformations of diffusion tensor magnetic resonance images
, 2001 The authors address the problem of applying spatial transformations (or “image warps”) to diffusion tensor magnetic resonance images. The orientational information that these images contain must be handled appropriately when they are transformed ...
Basser, P.J. +3 more
core
Space-Varying Coefficient Models for Diffusion Tensor Imaging using 3d Wavelets [PDF]
, 2006 In this paper, the space-varying coefficients model on the basis of B-splines (Heim et al., (2006)) is adapted to wavelet basis functions and re-examined using artificial and real data. For an introduction to diffusion tensor imaging refer to Heim et al.
Heim, Susanne
core +1 more source
Advanced Engineering Materials, EarlyView.Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios +5 more
wiley +1 more source
Graph Regularized Tensor Decomposition for Recommender Systems
, 2022 Humans make decisions when presented with choices based on influences. The Internet today presents people with abundant choices to choose from. Recommending choices with an emphasis on people's preferences has become increasingly sought.
Chandrashekar, Rohan (author)
core
Near‐Field Electrospinning Micro‐Printhead Achieves Precise Control of Nanofiber Deposition
Advanced Engineering Materials, EarlyView.A micro‐printhead for near‐field electrospinning enables reproducible deposition of polymer nanofibers with diameters below 50 nm. Systematic parameter studies uncover the mechanisms linking operating conditions to fiber morphology, paving the way for precise and low‐cost nanoscale 3D manufacturing.As a high‐resolution, cost‐effective, and rapid ...
Han Xu, Dario Mager, Jan G. Korvink
wiley +1 more source