Results 81 to 90 of about 462,479 (185)

Computation amounts and assignment numbers for real SVD and quaternion SVD.

open access: yes, 2017
Computation amounts and assignment numbers for real SVD and quaternion SVD.
Fengxia Zhang (115332)   +3 more
core   +1 more source

MultiCOIN: Multi‐Modal COntrollable INbetweening

open access: yesComputer Graphics Forum, EarlyView.
Abstract Video inbetweening creates smooth transitions between two frames making it an indispensable tool for video editing and longform video synthesis. Existing methods struggle with large or complex motion and offer limited control over intermediate frames, often misaligning with user intent.
M. Tanveer   +6 more
wiley   +1 more source

Beyond Spherical Harmonics: Rethinking Appearance Models for Radiance Reconstruction

open access: yesComputer Graphics Forum, EarlyView.
Abstract View‐dependent appearance modeling remains a challenging problem in novel‐view synthesis and reconstruction. Accurately representing complex angular effects often requires substantial memory and computational resources. For new learning‐based methods, a common approach is to rely on Spherical Harmonics (SH).
Ewa Miazga, Jorge Condor, Piotr Didyk
wiley   +1 more source

Tri‐LoRA: Spectral, Layer‐Selective, and Temporal LoRA Fusion for Preference‐Aligned Image Stylization

open access: yesComputer Graphics Forum, EarlyView.
Abstract Personalized stylization based on subject and style LoRA fusion has emerged as a practical approach for controllable image generation. However, existing methods still struggle to balance subject consistency, style fidelity, and visual preference alignment, and many of them rely on additional training.
D. Zhang   +4 more
wiley   +1 more source

A GPU-based approximate SVD algorithm [PDF]

open access: yes, 2012
. Approximation of matrices using the Singular Value Decom-position (SVD) plays a central role in many science and engineering appli-cations. However, the computation cost of an exact SVD is prohibitively high for very large matrices.
Sridhar Mahadevan   +2 more
core   +1 more source

Speckle Noise Reduction in Optical Coherence Tomography Using Two-dimensional Curvelet-based Dictionary Learning

open access: yesJournal of Medical Signals and Sensors, 2017
The process of interpretation of high-speed optical coherence tomography (OCT) images is restricted due to the large speckle noise. To address this problem, this paper proposes a new method using two-dimensional (2D) curvelet-based K-SVD algorithm for ...
Mahdad Esmaeili   +3 more
doaj  

Stoicism and Nursing Care in Perinatal Grief: An Integrative Literature Review

open access: yesJournal of Advanced Nursing, EarlyView.
ABSTRACT Aim To show the Stoic contributions to professional performance during perinatal grief. Design An integrative literature review. Method This integrative literature review covers the period from 1993 to 2026. Electronic searches were conducted in the PubMed and Web of Science databases, as well as the Virtual Health Library (VHL) portal, using ...
Juliana Sampaio dos Santos   +7 more
wiley   +1 more source

Iterative Reconstrained Low-Rank Representation via Weighted Nonconvex Regularizer

open access: yesIEEE Access, 2018
Benefiting from the joint consideration of geometric structures and low-rank constraint, graph low-rank representation (GLRR) method has led to the state-of-the-art results in many applications.
Jianwei Zheng   +4 more
doaj   +1 more source

Epigenetic signatures of attention problems in youth with childhood exposure to family and community violence

open access: yesPsychiatry and Clinical Neurosciences, EarlyView.
Aim The link between violence‐related epigenetic changes and attentional problems (APs) is still not well understood. This article examines if exposure to family and community violence during childhood and adolescence may shape DNA methylation patterns associated with attention in youth.
Renata Queiroz Ramos   +6 more
wiley   +1 more source

A Simple Yet Effective SVD-GCN for Directed Graphs [PDF]

open access: yes, 2022
In this paper, we propose a simple yet effective graph neural network for directed graphs (digraph) based on the classic Singular Value Decomposition (SVD), named SVD-GCN.
Lin, Lequan   +3 more
core  

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