Results 121 to 130 of about 724,897 (308)
Multilevel Quasi-Interpolation on Chebyshev Sparse Grids
ComputationThis paper investigates the potential of utilising multilevel quasi-interpolation techniques on Chebyshev sparse grids for complex numerical computations.
Faisal Alsharif
doaj +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Classification of music genres using sparse representations in overcomplete dictionaries [PDF]
, 2011 This paper presents a simple, but efficient and robust, method for music genre classification that utilizes sparse representations in overcomplete dictionaries.
Rusu, Cristian
core
Frontiers in Systems Neuroscience, 2014 Neurons are spatially extended structures with an elaborate dendritic tree that integrates spatio-temporal input patterns. Traditionally, this integration is analysed using compartmental simulations of the cable equation [1].
Willem Wybo +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.This study explores the discrepancies between bulk mechanics and spatial mapping in a tissue‐mimetic hydrogel model. Microplastic particles create localized stiff mechanical microenvironments that are detectable by cellular‐scale nanoindentation but leave bulk properties unchanged as measured by rheology.
Ahron T. Verschleisser +3 more
wiley +1 more source
The cosparse analysis model and algorithms [PDF]
, 2013 After a decade of extensive study of the sparse representation synthesis model, we can safely say that this is a mature and stable field, with clear theoretical foundations, and appealing applications.
Gribonval, Rémi +7 more
core +1 more source
Parallel sparse matrix solution for direct circuit simulation on a multiple FPGA system [PDF]
, 2012 SPICE, from the University of California, at Berkeley, is the de facto world standard for circuit simulation. SPICE is used to model the behaviour of electronic circuits prior to manufacturing to decrease defects and hence reduce costs. However, accurate
Nechma, Tarek
core +1 more source
Compressing by Learning in a Low-Rank and Sparse Decomposition Form
IEEE Access, 2019 Low-rankness and sparsity are often used to guide the compression of convolutional neural networks (CNNs) separately. Since they capture global and local structure of a matrix respectively, we combine these two complementary properties together to pursue
Kailing Guo +3 more
doaj +1 more source
A sparse overview on sparse resultants
comments welcome ;) This survey is based on the plenary talk of Ioannis Emiris in ACA ...
Checa, Carles +2 more
openaire +2 more sources
Advanced Engineering Materials, EarlyView.This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley +1 more source