Results 21 to 30 of about 20,057 (276)
Multi-View Learning With Robust Generalized Eigenvalue Proximal SVM
IEEE Access, 2019 Multi-view learning mechanism, which enhances learning performance by training multi-model data sets, is a popular filed in recent years. Multi-view generalized eigenvalue proximal support vector machine (MvGSVM), as a most recently proposed classifier ...
Peng Huang +4 more
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Lp-Norm Constrained One-Class Classifier Combination
, 2023 Classifier fusion is established as an effective methodology for boosting performance in different settings and one-class classification is no exception. In this study, we consider the one-class classifier fusion problem by modelling the sparsity/uniformity of the ensemble. To this end, we formulate a convex objective function to learn the weights in a
Nourmohammadi, Sepehr +1 more
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The Scientific World Journal, 2014 To make use of the sparsity property of broadband multipath wireless communication channels, we mathematically propose an lp-norm-constrained proportionate normalized least-mean-square (LP-PNLMS) sparse channel estimation algorithm.
Yingsong Li, Masanori Hamamura
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An Adaptive Lp Norm Minimization Algorithm for Direction of Arrival Estimation
Remote Sensing, 2022 In this paper, we propose a new direction of arrival (DOA) estimation algorithm, in which DOA estimation is achieved by finding the sparsest support set of multiple measurement vectors (MMV) in an over-complete dictionary. The proposed algorithm is based
Lutao Liu, Zejing Rao
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A new robust dynamic state estimation approach for power systems with non-Gaussian noise
International Journal of Electrical Power & Energy SystemsThe Gaussian noise distribution is typically used in dynamic state estimation (DSE) but it is not always true in practice because of abnormal system inputs, impulsive noise and measurement outliers. In this paper, a new robust DSE approach based on a new
Tengpeng Chen +6 more
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Sparse FIR Filter Design Based on Signomial Programming
Elektronika ir Elektrotechnika, 2020 The goal of sparse FIR filter design is to minimize the number of nonzero filter coefficients, while keeping its frequency response within specified boundaries.
Maja Jurisic Bellotti, Mladen Vucic
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Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks [PDF]
, 2014 In this paper we propose and investigate a novel nonlinear unit, called $L_p$ unit, for deep neural networks. The proposed $L_p$ unit receives signals from several projections of a subset of units in the layer below and computes a normalized $L_p$ norm ...
A. Hyvärinen +9 more
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Journal of Function Spaces, 2021 In this article, we define a kind of truncated maximal function on the Heisenberg space by Mγcfx ...
Xiang Li, Xingsong Zhang
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Lp-Norm Inversion of Gravity Data Using Adaptive Differential Evolution
Applied Sciences, 2021 As a popular population based heuristic evolutionary algorithm, differential evolution (DE) has been widely applied in various science and engineering problems. Similar to other global nonlinear algorithms, such as genetic algorithm, simulated annealing,
Tao Song +5 more
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Superconvergence of a finite element method for linear integro-differential problems
International Journal of Mathematics and Mathematical Sciences, 2000 We introduce a new way of approximating initial condition to the semidiscrete finite element method for integro-differential equations using any degree of elements. We obtain several superconvergence results for the error between the approximate solution
Do Y. Kwak, Sungyun Lee, Qian Li
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