Results 161 to 170 of about 3,528 (203)

Skin Cancer Diagnostic using Machine Learning Techniques - Shearlet Transform and Naïve Bayes Classifier

, 2019
S. Mohan Kumar, J. Ram Kumar, K. Gopalakrishnan   +2 more
openalex   +1 more source

Shearlet dönüşüm ve yeni geometrik özellikler kullanılarak aşırı öğrenme makinesine dayalı bitki tanıma sistemi

, 2019
Muammer Türkoğlu, Davut Hanbay
openalex   +2 more sources

Mask Responses for Single-Pixel Terahertz Imaging. [PDF]

Sci Rep, 2018
Augustin S, Frohmann S, Jung P, Hübers HW.   +3 more
europepmc   +1 more source

Embeddings of shearlet coorbit spaces into Sobolev spaces

, 2019
Hartmut Führ, René Koch
openalex   +2 more sources

Curvelet Transform-based volume fusion for correcting signal loss artifacts in Time-of-Flight Magnetic Resonance Angiography data. [PDF]

Comput Biol Med, 2018
Baghaie A, Schnell S, Bakhshinejad A, Fathi MF, D'Souza RM, Rayz VL.   +5 more
europepmc   +1 more source

A New Deep Learning Based Multi-Spectral Image Fusion Method. [PDF]

Entropy (Basel), 2019
Piao J, Chen Y, Shin H.
europepmc   +1 more source

Shearlets on bounded domains and analysis of singularities using compactly supported shearlets

, 2016
In this thesis we discuss and extend the theory of shearlet systems. These systems were introduced in [LLKW05, GKL06] and have found a multitude of applications in signaland image processing and related fields since then.
P. Petersen
semanticscholar   +3 more sources

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Edges and Corners With Shearlets

IEEE Transactions on Image Processing, 2015
Shearlets are a relatively new and very effective multi-scale framework for signal analysis. Contrary to the traditional wavelets, shearlets are capable to efficiently capture the anisotropic information in multivariate problem classes. Therefore, shearlets can be seen as the valid choice for multi-scale analysis and detection of directional sensitive ...
Miguel A. Duval-Poo, F. Odone, E. De Vito   +2 more
semanticscholar   +5 more sources

Shearlets: Theory and Applications

GAMM-Mitteilungen, 2014
AbstractMany important problem classes are governed by anisotropic features such as singularities concentrated on lower dimensional embedded manifolds, for instance, edges in images or shock fronts in solutions of transport dominated equations. While the ability to reliably capture and sparsely represent anisotropic structures is obviously the more ...
Gitta Kutyniok, Wang-Q Lim, G. Steidl
semanticscholar   +3 more sources

Microlocal Analysis and Characterization of Sobolev Wavefront Sets Using Shearlets

Constructive approximation, 2020
Sobolev wavefront sets and 2-microlocal spaces play a key role in describing and analyzing the singularities of distributions in microlocal analysis and solutions of partial differential equations.
B. Han, Swaraj Paul, N. Shukla
semanticscholar   +1 more source