On the positive definiteness and uniform boundedness of the inertia matrix of robot manipulators
Fathi H. Ghorbel +2 more
openalex +2 more sources
Enhancing generalized spectral clustering with embedding Laplacian graph regularization
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang +5 more
wiley +1 more source
Efficient preconditioning strategies for accelerating GMRES in block-structured nonlinear systems for image deblurring. [PDF]
Khalid R +4 more
europepmc +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi +5 more
wiley +1 more source
Peritoneal mesothelioma and asbestos exposure: a population-based case-control study in Italy, 2000-2021. [PDF]
Consonni D +33 more
europepmc +1 more source
Manifold Learning Based on Locally Linear Embedding For Symmetric Positive Definite Matrix
Xinxin Zou, Hao Xu, Xinling Liu
openalex +1 more source
Distributed Formation Control for Heterogeneous Robot Systems Based on Competitive Mechanism
ABSTRACT This paper presents an adaptive formation control method for a heterogeneous robot swarm, utilising a multilevel formation task tree to model various types of formation tasks and a single‐state distributed k‐winner‐take‐all (S‐DKWTA) algorithm to address the MRTA problem.
Zhenghui Cui, Xiaoyi Gu, Ning Tan
wiley +1 more source
A Schur-based algorithm for computing the smallest eigenvalue of a symmetric positive definite Toeplitz matrix [PDF]
Nicola Mastronardi +2 more
openalex
Iteration Methods for Linear Systems with Positive Definite Matrix
Longquan Yong, Shouheng Tuo, Jiarong Shi
openalex +2 more sources
ABSTRACT Recently, the zeroing neural network (ZNN) has demonstrated remarkable effectiveness in tackling time‐varying problems, delivering robust performance across both noise‐free and noisy environments. However, existing ZNN models are limited in their ability to actively suppress noise, which constrains their robustness and precision in solving ...
Yilin Shang +3 more
wiley +1 more source

