Results 61 to 70 of about 4,434 (214)
Multivariate $\alpha$-molecules
The suboptimal performance of wavelets with regard to the approximation of multivariate data gave rise to new representation systems, specifically designed for data with anisotropic features.
Flinth, Axel, Schäfer, Martin
core +1 more source
Shearlet Coorbit Spaces: Compactly Supported Analyzing Shearlets, Traces and Embeddings [PDF]
We show that compactly supported functions with sufficient smoothness and enough vanishing moments can serve as analyzing vectors for shearlet coorbit spaces. We use this approach to prove embedding theorems for subspaces of shearlet coorbit spaces resembling shearlets on the cone into Besov spaces. Furthermore, we show embedding relations of traces of
Gerd Teschke+2 more
openaire +2 more sources
In vivo T2 measurements of the fetal brain using single‐shot fast spin echo sequences
Abstract Purpose We propose a quantitative framework for motion‐corrected T2 fetal brain measurements in vivo and validate the single‐shot fast spin echo (SS‐FSE) sequence to perform these measurements. Methods Stacks of two‐dimensional SS‐FSE slices are acquired with different echo times (TE) and motion‐corrected with slice‐to‐volume reconstruction ...
Suryava Bhattacharya+11 more
wiley +1 more source
This paper introduces a novel infrared and visible image fusion network to address the limitations of auto‐encoder fusion networks. In the designed network, the encoder employs a multi‐branch cascade structure with convolution kernels of different sizes to extract multi‐scale features, and the fusion layer incorporates a non‐local attention module ...
Jing Xu, Zhenjin Liu, Ming Fang
wiley +1 more source
ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm [PDF]
Multivariate problems are typically governed by anisotropic features such as edges in images. A common bracket of most of the various directional representation systems which have been proposed to deliver sparse approximations of such features is the ...
Gitta Kutyniok+4 more
core +1 more source
An adaptive neuro‐fuzzy inference system is presented based on an optimization of genetic algorithm to classify normal and abnormal brain tumours. Abstract An adaptive neuro‐fuzzy inference system is presented which is optimized by a genetic algorithm to classify normal and abnormal brain tumours.
Marzieh Ghahramani, Nabiollah Shiri
wiley +1 more source
Zero-watermarking is a blind digital watermarking method. It has reached the point where the robustness and the imperceptibility can arrive at a good balance.
Jian Zhao+4 more
semanticscholar +1 more source
Deep learning‐based methods for detecting defects in cast iron parts and surfaces
First, this article used multiple data augmentation methods to alleviate the problem of small sample size in casting datasets. Second, attention mechanism was introduced. Finally, a novel feature fusion layer structure was adopted to improve the original network model.
Pengyu Wang, Peng Jing
wiley +1 more source
Linear independence of compactly supported separable shearlet systems
This paper examines linear independence of shearlet systems. This property has already been studied for wavelets and other systems such as, for instance, for Gabor systems.
Ma, Jackie, Petersen, Philipp
core +1 more source
mBCCf: Multilevel Breast Cancer Classification Framework Using Radiomic Features
Breast cancer characterization remains a significant and challenging issue in contemporary medicine. Accurately distinguishing between malignant and benign breast lesions is crucial for effective diagnosis and treatment. The anatomical structure of malignant breast ultrasound images is more chaotic than that of benign images due to disease pathologies.
Lipismita Panigrahi+6 more
wiley +1 more source