Results 91 to 100 of about 2,218,762 (336)

Dynamical and spectral properties of complex networks

open access: yes, 2007
Dynamical properties of complex networks are related to the spectral properties of the Laplacian matrix that describes the pattern of connectivity of the network.
Albert Díaz-Guilera   +12 more
core   +1 more source

Leveraging Compressed Sensing and Radiomics for Robust Feature Selection for Outcome Prediction in Personalized Ultra‐Fractionated Stereotactic Adaptive Radiotherapy

open access: yesAdvanced Intelligent Systems, EarlyView.
A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu   +3 more
wiley   +1 more source

Self‐inferring incomplete multi‐view clustering

open access: yesIET Computer Vision, EarlyView., 2022
A novel algorithm is proposed, named self‐inferring multi‐view clustering, to learn a common representation for all views while inferring the missing instances simultaneously. The missing instances of incomplete multi‐view data are replenished with zeros and exploited as variables and a feature graph is constructed for each view.
Junjun Fan   +5 more
wiley   +1 more source

Unified spectral bounds on the chromatic number

open access: yes, 2014
One of the best known results in spectral graph theory is the following lower bound on the chromatic number due to Alan Hoffman, where mu_1 and mu_n are respectively the maximum and minimum eigenvalues of the adjacency matrix: chi >= 1 + mu_1 / (- mu_n).
Elphick, Clive, Wocjan, Pawel
core   +2 more sources

Investigation of the Molecular Level Interaction in [CH3OH−CH2X2] Complexes (X=I, Br, and Cl) using Matrix‐Isolation IR Spectroscopy

open access: yesChemistry – An Asian Journal, Volume 20, Issue 6, March 17, 2025.
In CH2X2 (X=Cl, Br, and I) molecules, the magnitude of σ‐hole on the X atom decreases from CH2I2 to CH2Cl2 . Three different types of interactions i. e., C−X⋅⋅⋅O halogen bond, and C−H⋅⋅⋅O and O−H⋅⋅⋅X hydrogen bond, are possible in [CH3OH−CH2X2] complexes.
Sumit Kumar Agrawal   +2 more
wiley   +1 more source

Semi‐Paired Semi‐Supervised Deep Hashing for cross‐view retrieval

open access: yesIET Computer Vision, EarlyView., 2022
In this study, a Semi‐Paired Semi‐Supervised Deep Hashing (SPSDH) is proposed. SPSDH is a novel end‐to‐end deep neural network model with high‐order affinity. A non‐local higher‐order affinity measure that better considers the multimodal neighbourhood structure. And a common representation to associate different modalities is introduced, which combined
Yi Wang   +3 more
wiley   +1 more source

A Note on the Laplacian Energy of the Power Graph of a Finite Cyclic Group

open access: yesSakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
In this study, the Laplacian matrix concept for the power graph of a finite cyclic group is redefined by considering the block matrix structure. Then, with the help of the eigenvalues of the Laplacian matrix in question, the concept of Laplacian energy ...
Şerife Büyükköse   +1 more
doaj   +1 more source

Network Coherence in a Family of Book Graphs

open access: yesFrontiers in Physics, 2020
In this paper, we study network coherence characterizing the consensus behaviors with additive noise in a family of book graphs. It is shown that the network coherence is determined by the eigenvalues of the Laplacian matrix.
Jing Chen, Yifan Li, Weigang Sun
doaj   +1 more source

Linear Matrix Inequality‐based design of distributed proportional‐integral‐derivative for the output consensus tracking in heterogeneous high‐order multi‐agent systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This article addresses the cooperative output consensus tracking problem for high‐order heterogeneous multi‐agent systems via a distributed proportional‐integral‐derivative (PID)‐like control strategy and proposes two novel control methodologies for the tuning of the control gains, which do not require any assumption and/or limitation on agent
Dario Giuseppe Lui   +2 more
wiley   +1 more source

Multiview subspace clustering via low‐rank correlation analysis

open access: yesIET Computer Vision, EarlyView., 2022
The framework of our proposed method. The unifying graph S is adaptively used to capture the low–rank correlation between samples in different views. S also represents the clustering structure with a rank constraint to avoid its spectral post–processing.
Qu Kun   +2 more
wiley   +1 more source

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