Results 41 to 50 of about 176,617 (264)
Kernel locality‐constrained sparse coding for head pose estimation
IET Computer Vision, 2016 In many situations, it would be practical for a computer system user interface to have a model of where a person is looking and what the user is paying attention to.
Hyunduk Kim +3 more
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An Info-Leak Resistant Kernel Randomization for Virtualized Systems
IEEE Access, 2020 Given the significance that the cloud paradigm has in modern society, it is extremely important to provide security to users at all levels, especially at the most fundamental ones since these are the most sensitive and potentially harmful in the event of
Fernando Vano-Garcia +1 more
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Journal of Marine Science and Engineering, 2021 This paper focuses on the formulation of state–space representations of radiation forces for marine structures using Hankel Singular Value Decomposition (HSVD), a method used to obtain a state–space realization from a Hankel matrix, with the classical ...
Romain Lecuyer-Le Bris +3 more
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ζ-function and heat kernel formulae
Journal of Functional Analysis, 2011 Comment: accepted to Journal of Functional ...
Sukochev, Fedor, Zanin, Dmitriy
openaire +3 more sources
Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher +10 more
wiley +1 more source
Novel kernel function for computing the similarity of text
Tongxin xuebao, 2012 To enhance the performance of detecting similar documents,a novel kernel function named S_Wang kernel was constructed.Based on the actual situation of computing text similarity,the S_Wang kernel was newly bu lt with consideration of the Euclidean ...
Xiu-hong WANG, Shi-guang JU
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The Application of Kernel Ridge Regression for the Improvement of a Sensing Interferometric System
SensorsSensors based on interferometric systems have been studied due to their wide range of advantages, such as high sensitivity. For these types of sensors, traditional methods, which generally depend on the linear sensitivity of one variable, have been used ...
Ana Dinora Guzman-Chavez +1 more
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MKL-SVM algorithm for pulmonary nodule recognition based on swarm intelligence optimization
工程科学学报, 2021 To solve the problem that a single kernel learning support vector machine (SVM) cannot consider the learning and generalization abilities and parameter optimization of the multiple kernel function, a multiple kernel learning support vector machine (MKL ...
Yang LI, Jia-yue CHANG, Yu-yang WANG
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International Journal of Adaptive Control and Signal Processing, EarlyView.This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
Advanced Engineering Materials, EarlyView.Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source