Results 51 to 60 of about 71,044 (233)
Two dimensional Singular Value Decomposition (2D-SVD) based video coding [PDF]
In this paper, we propose a low-complexity video codec based on two-dimensional Singular Value Decomposition (2D-SVD). We exploit the common temporal characteristics of video without resorting to motion estimation. It has been demonstrated that this codec has higher coding efficiency than the relevant existing low complexity codecs.
Zhouye Gu +4 more
openaire +1 more source
svds-C: A multi-thread C code for computing truncated singular value decomposition
This article presents svds-C, an open-source and high-performance C program for accurately and robustly computing truncated SVD, e.g. computing several largest singular values and corresponding singular vectors. We have re-implemented the algorithm of svds in Matlab in C based on MKL or OpenBLAS and multi-thread computing to obtain the parallel program
Xu Feng, Wenjian Yu, Yuyang Xie
openaire +3 more sources
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Objective Cerebral ischemic stroke causes neuronal oxygen/energy deprivation, disrupting mitochondrial function including reduced membrane potential and bioenergetics, exacerbating neuronal injury. Mitochondrial defects are, therefore, a central neuropathological node and potential therapeutic target.
Ning Bian +9 more
wiley +1 more source
Condition of a linear system [PDF]
U ovom članku analizira se uvjetovanost matrice linearnog sustava i njena povezanost sa singularnom dekompozicijom matrice. Pokazuje se da su loše uvjetovane matrice "gotovo singularne". Singularna dekompozicija također ukazuje na tu vezu, a koristi se i
Jasenka Augustinović
core +1 more source
Radar Signals Compression using Singular Value Decomposition (SVD) Approach
ability to reduce noise in a received radar signal from its target largely indicates the accuracy of the radar system. Matched filters help to maximize the signal to noise ratio of radar systems. Matched Filters are commonly used in radars whose transmitted signals are known and are used as a replica to correlate with the received signal.
Yaw Marfo, Asenso Kwarteng
openaire +1 more source
Abstract Analysis of the variation in the bony structures of the inner and middle ear provides critical insights into functional morphology, as well as adaptive morphology across primates. In this study, we investigated whether ear morphology patterns are related to the ecological characteristics of species and their habitats to test two acoustic ...
Myriam Marsot +4 more
wiley +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
The Singular Value Expansion for Arbitrary Bounded Linear Operators
The singular value decomposition (SVD) is a basic tool for analyzing matrices. Regarding a general matrix as defining a linear operator and choosing appropriate orthonormal bases for the domain and co-domain allows the operator to be represented as ...
Daniel K. Crane, Mark S. Gockenbach
doaj +1 more source

