Research on slope reliability analysis using multi-kernel relevance vector machine and advanced first-order second-moment method
Sign Up to like & getrecommendations! Published in 2021 at "Engineering With Computers"
DOI: 10.1007/s00366-021-01331-9
Abstract: To increase the efficiency and accuracy in slope stability analysis, a reliability analysis method based on machine learning and the advanced first-order second-moment (AFOSM) method was proposed, and the partial derivative of the machine-learning algorithm… read more here.
Keywords: slope; method; machine; multi kernel ... See more keywords
Efficient convolutional neural network with multi-kernel enhancement features for real-time facial expression recognition
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Real-time Image Processing"
DOI: 10.1007/s11554-021-01088-w
Abstract: Facial expressions are the most direct external manifestation of personal emotions. Different from other pattern recognition problems, the feature difference between facial expressions is smaller. The general methods are difficult to effectively characterize the feature… read more here.
Keywords: recognition; expression recognition; real time; multi kernel ... See more keywords
Multi-kernel neural networks for nonlinear unsteady aerodynamic reduced-order modeling
Sign Up to like & getrecommendations! Published in 2017 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2017.04.017
Abstract: Abstract This paper proposes the multi-kernel neural networks and applies them to model the nonlinear unsteady aerodynamics at constant or varying flow conditions. Different from standard radial basis function (RBF) networks with a single Gaussian… read more here.
Keywords: nonlinear unsteady; reduced order; neural networks; kernel neural ... See more keywords
A ℓ2, 1 norm regularized multi-kernel learning for false positive reduction in Lung nodule CAD
Sign Up to like & getrecommendations! Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2016.12.007
Abstract: OBJECTIVE The aim of this paper is to describe a novel algorithm for False Positive Reduction in lung nodule Computer Aided Detection(CAD). METHODS In this paper, we describes a new CT lung CAD method which… read more here.
Keywords: feature; cad; method; multi kernel ... See more keywords
Multi-kernel correntropy based extended Kalman filtering for state-of-charge estimation.
Sign Up to like & getrecommendations! Published in 2022 at "ISA transactions"
DOI: 10.1016/j.isatra.2022.02.047
Abstract: As a powerful tool for real-time battery management, the extended Kalman filter (EKF) can achieve an online estimation for state of charge (SOC). The EKF, however, may yield biased estimates since the measured system suffers… read more here.
Keywords: kernel correntropy; estimation; state; multi kernel ... See more keywords
A novel forecasting approach based on multi-kernel nonlinear multivariable grey model: A case report
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2020.120929
Abstract: Abstract Carbon emissions are an important environmental problem. The objective and accurate prediction of carbon emissions can serve as a reference and advance indicator for the implementation of a government’s environmental strategy. In this paper,… read more here.
Keywords: novel forecasting; carbon emissions; carbon; multi kernel ... See more keywords
Multi-kernel Gaussian process latent variable regression model for high-dimensional sequential data modeling
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.07.082
Abstract: Abstract Modeling sequential data has been a hot research field for decades. One of the most challenge problems in this field is modeling real-world high-dimensional sequential data with limited training samples. This is mainly due… read more here.
Keywords: high dimensional; sequential data; model; gaussian process ... See more keywords
Efficient multi-kernel DCNN with pixel dropout for stroke MRI segmentation
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.03.049
Abstract: Abstract As manual delineation of lesions in medical image is a very tedious and time consuming process, accurate and automatic segmentation of medical images can assist diagnosis and treatment. In this study, we propose a… read more here.
Keywords: efficient multi; mri segmentation; kernel dcnn; segmentation ... See more keywords
Cancer subtyping with heterogeneous multi-omics data via hierarchical multi-kernel learning
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac488
Abstract: Differentiating cancer subtypes is crucial to guide personalized treatment and improve the prognosis for patients. Integrating multi-omics data can offer a comprehensive landscape of cancer biological process and provide promising ways for cancer diagnosis and… read more here.
Keywords: multi omics; kernel learning; multi kernel; multi ... See more keywords
Learning to Recognize Chest-Xray Images Faster and More Efficiently Based on Multi-Kernel Depthwise Convolution
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2974242
Abstract: The development of convolutional neural networks has promoted the progress of computer-aided diagnostic systems. Details in medical image, such as the texture and tissue structure, are crucial features for diagnosis. Therefore, large input images combined… read more here.
Keywords: convolution; kernel depthwise; based multi; depthwise convolution ... See more keywords
Multi-Kernel Maximum Correntropy Kalman Filter
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2021.3114137
Abstract: Maximum correntropy criterion (MCC) has been widely used in Kalman filter to cope with heavy-tailed measurement noises. However, its performance on mitigating non-Gaussian process noises and unknown disturbance is rarely explored. In this letter, we… read more here.
Keywords: correntropy kalman; kalman filter; kernel maximum; multi kernel ... See more keywords