Results 41 to 50 of about 562,438 (268)
A Nonconvex Implementation of Sparse Subspace Clustering: Algorithm and Convergence Analysis
IEEE Access, 2020 Subspace clustering has been widely applied to detect meaningful clusters in high-dimensional data spaces. And the sparse subspace clustering (SSC) obtains superior clustering performance by solving a relaxed ℓ0-minimization problem with ℓ1-
Xiaoge Deng +3 more
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FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Frontiers in Energy Research, 2021 Scalable parallel algorithm for particle transport is one of the main application fields in high-performance computing. Discrete ordinate method (Sn) is one of the most popular deterministic numerical methods for solving particle transport equations.
Biao Li +7 more
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A Basic Parallel Process as a Parallel Pushdown Automaton
Electronic Notes in Theoretical Computer Science, 2009 AbstractWe investigate the set of basic parallel processes, recursively defined by action prefix, interleaving, 0 and 1. Different from literature, we use the constants 0 and 1 standing for unsuccessful and successful termination in order to stay closer to the analogies in automata theory.We prove that any basic parallel process is rooted branching ...
J.C.M. Baeten (Jos) +2 more
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Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
FEBS Letters, EarlyView.Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Experimental Demonstration Of The Fixed-Point Sparse Coding Performance
Cybernetics and Information Technologies, 2014 The Sparse Coding (SC) model has been proved to be among the best neural networks which are mainly used in unsupervised feature learning for many applications.
Jiang Jingfei +3 more
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Another Robust NMF: Rethinking the Hyperbolic Tangent Function and Locality Constraint
IEEE Access, 2019 Non-negative matrix factorization (NMF) is a classical data analysis tool for clustering tasks. It usually considers the squared loss to measure the reconstruction error, thus it is sensitive to the presence of outliers. Looking into the literature, most
Xingyu Shen +4 more
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FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
PRECONDITIONING OF VOXEL FEM ELLIPTIC SYSTEMS
TASK Quarterly, 2007 The presented comparative analysis concerns two iterative solvers for large-scale linear systems related to µFEM simulation of human bones. The considered scalar elliptic problems represent the strongly heterogeneous structure of real bone specimens ...
SVETOZAR MARGENOV, YAVOR VUTOV
doaj
Journal of Applied Mathematics, 2013 This paper investigates the problem of the minimum length link scheduling (MLLS) in multiuser MIMO (MU-MIMO) networks. Generally, in the networks with MU-MIMO capability, the number of concurrent transmissions can be as large as that of antenna elements ...
Hu Shen +5 more
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