Results 211 to 220 of about 14,780,830 (367)

Thumbnail Tensor-A Method for Multidimensional Data Streams Clustering with an Efficient Tensor Subspace Model in the Scale-Space. [PDF]

Sensors (Basel), 2019
Cyganek B.
europepmc   +1 more source

[ITAL]Hubble Space Telescope[/ITAL] STIS Spectroscopy of the Optical Outflow from DG Tauri: Structure and Kinematics on Subarcsecond Scales [PDF]

, 2000
F. Bacciotti, R. Mundt, T. P. Ray, J. Eislöffel, J. Solf, Max Camezind   +5 more
openalex   +1 more source

Statistical Scale Space Methods

, 2017
Lasse Holmström, L. Pasanen
semanticscholar   +1 more source

Scale Space and Variational Methods in Computer Vision

Lecture Notes in Computer Science, 2015
Jean-François Aujol, M. Nikolova, N. Papadakis   +2 more
semanticscholar   +1 more source

Influence of habitat on fine-scale space use by brown lemmings (Lemmus trimucronatus) in the High Arctic. [PDF]

J Mammal
Valcourt M, Fauteux D, Gauthier G.
europepmc   +1 more source

Intermittency and anomalous scaling of passive scalars in any space dimension

, 1996
Gregory L. Eyink
openalex   +1 more source

Finite-size scaling and conformal anomaly of the Ising model in curved space [PDF]

, 2000
J. González
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Prediction of the strength and timing of sunspot cycle 25 reveal decadal-scale space environmental conditions. [PDF]

Nat Commun, 2018
Bhowmik P, Nandy D.
europepmc   +1 more source

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

International Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source