Results 61 to 70 of about 167 (104)
A Robust Group-Sparse Representation Variational Method with applications to Face Recognition [PDF]
, 2019 In this paper we propose a Group-Sparse Representation based method with applications to Face Recognition (GSR-FR). The novel sparse representation variational model includes a non-convex sparsity-inducing penalty and a robust non-convex loss function ...
Fritz Keinert +2 more
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Weighted inequalities for weak Riesz-Fischer functionals [PDF]
We establish a set of relations between several quite diverse types of weighted inequalities involving various integral operators and fairly general quasinorm-like functionals. The main result enables one to solve a specific problem by transferring it to
Pick, Luboš, Gogatishvili, Amiran
core +1 more source
The Riesz convergence property on weighted Lonrentz spaces and Orlicz-Lorentz spaces
, 2013 Click on the link to view the abstract.Keywords: Lorentz spaces, Orlicz-Lorentz spaces, Riesz convergence property, quasinorm, absolutely continuous normQuaestiones Mathematicae 36(2013), 181 ...
Li, Hongliang
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Contextual MEG and EEG Source Estimates Using Spatiotemporal LSTM Networks. [PDF]
Front Neurosci, 2021 Dinh C +4 more
europepmc +1 more source
Equivalent and attained version of Hardy's inequality in Rn
, 2018 We investigate connections between Hardy's inequality in the whole space Rnand embedding inequalities for Sobolev–Lorentz spaces. In particular, we complete previous results due to [1, Alvino] and [28, Talenti] by establishing optimal embedding ...
Ruf, B., Tarsi, C., Cassani, D.
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Volumes of unit balls of Lorentz spaces
, 2022 This thesis studies the volume of the unit ball of finite-dimensional Lorentz sequence spaces p,q n . Lorentz spaces are a generalisation of Lebesgue spaces with a quasinorm described by two parameters 0 < p, q ≤ ∞.
Doležalová, Anna
core
Estimation of Discrete Probability Distribution and Bootstrap
, 2015 Doctoral thesis is focused on the unconventional methods of the discrete probability estimation of categorical quantity from its observed values. The gradient of quasinorm and so-called line estimation were emlopyed for these estimations.
Lacinová, Veronika
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Convexity in normed linear spaces and more general spaces
, 2018 We study questions concerning convexity and the existence of the nearest point for a given set in spaces equipped with either a norm, or with a more gen- eral functional, namely a quasinorm or an α−norm. We characterize convexity in a Hilbert space.
Zaplatílek, Adam
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Measuring sparsity in spatially interconnected systems
, 2013 The goal of this paper is to develop a mathematical framework to measure sparsity of state feedback controllers for spatially interconnected systems. We introduce a new algebra of infinite-dimensional matrices equipped with a matrix quasinorm which is ...
Sun, Qiyu +3 more
core +1 more source
Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity. [PDF]
Gigascience, 2020 Chu BB +7 more
europepmc +1 more source