Results 11 to 20 of about 57,699 (297)

Real Interpolation of Compact Bilinear Operators [PDF]

open access: greenJournal of Fourier Analysis and Applications, 2017
We establish an analog for bilinear operators of the compactness interpolation result for bounded linear operators proved by Cwikel and Cobos, Kühn and Schonbek. We work with the assumption that : (A0+ A1)×(B0+ B1) −→ E0+E1 is bounded, but we also study the case when this does not hold. Applications are given to compactness of convolution operators and
Luz M Fernandez-Cabrera, Anton Martinez
exaly   +4 more sources

Interpolation of compact bilinear operators [PDF]

open access: yesBulletin of Mathematical Sciences, 2020
This paper is devoted to the study of the stability of the compactness property of bilinear operators acting on the products of interpolated Banach spaces.
Mieczysław Mastyło, Eduardo B. Silva
doaj   +4 more sources

Bilinear Fractal Interpolation and Box Dimension

open access: yesJournal of Approximation Theory, 2014
In the context of general iterated function systems (IFSs), we introduce bilinear fractal interpolants as the fixed points of certain Read-Bajraktarevi\'{c} operators.
Barnsley, Michael F.   +1 more
core   +4 more sources

Interpolation of bilinear operators and compactness [PDF]

open access: yesNonlinear Analysis: Theory, Methods & Applications, 2012
The behavior of bilinear operators acting on interpolation of Banach spaces for the $\rho$ method in relation to the compactness is analyzed. Similar results of Lions-Peetre, Hayakawa and Person's compactness theorems are obtained for the bilinear case ...
D. L. Fernandez, Da Silva, E. Brandani
core   +3 more sources

Effects of rescaling bilinear interpolant on image interpolation quality [PDF]

open access: goldOptoelectronic Imaging and Multimedia Technology V, 2018
Rescaling bilinear (RB) interpolant's pixels is a novel image interpolation scheme. In the current study, we investigate the effects on the quality of interpolated images. RB determines the lower and upper bounds using the standard deviation of the four nearest pixels to find the new interval or range that will be used to rescale the bilinear ...
Olivier Rukundo, Samuel Emil Schmidt
  +5 more sources

On the interpolation of the measure of non-compactness of bilinear operators with weak assumptions on the boundedness of the operator

open access: bronzeJournal of Mathematical Analysis and Applications, 2021
Fernando Cobos   +2 more
exaly   +3 more sources

YOLO-ED: An efficient lung cancer detection model based on improved YOLOv8. [PDF]

open access: yesPLoS ONE
In recent years, You Only Look Once (YOLO) models have gradually been applied to medical image object detection tasks due to their good scalability and excellent generalization performance, bringing new perspectives and approaches to this field. However,
Qingqiang Zeng   +5 more
doaj   +2 more sources

Interpolation with bilinear differential forms [PDF]

open access: yesProceedings of the 44th IEEE Conference on Decision and Control, 2006
We present a recursive algorithm for modeling with bilinear differential forms. We discuss applications of this algorithm for interpolation with symmetric bivariate polynominals, and for computing storage functions for autonomous systems.
PENDHARKAR, ISHAN   +2 more
openaire   +1 more source

Implementing Bilinear Interpolation on Quantum Images [PDF]

open access: green, 2020
In this paper, we present an interpolation scheme for FRQI images based on bilinear interpolation. To accomplish this, we formulated several quantum modules, i.e., assignment module, increment module, and quarter module, and suffused them into our proposed quantum image interpolation circuit.
Fei Yan   +2 more
openalex   +3 more sources

Effects of data count and image scaling on Deep Learning training [PDF]

open access: yesPeerJ Computer Science, 2020
Background Deep learning using convolutional neural networks (CNN) has achieved significant results in various fields that use images. Deep learning can automatically extract features from data, and CNN extracts image features by convolution processing ...
Daisuke Hirahara   +3 more
doaj   +2 more sources

Home - About - Disclaimer - Privacy