A Unifying Parametric Framework for 2D Steerable Wavelet Transforms

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Fast camera imaging is used to study ion acoustic waves propagating azimuthally in a magnetized plasma column. The high-speed image sequences are analyzed using proper orthogonal decomposition and 2D Fourier transform, allowing to evaluate the assets and d ...

Functional data are typically modeled as sample paths of smooth stochastic processes in order to mitigate the fact that they are often observed discretely and noisily, occasionally irregularly and sparsely. The smoothness assumption is imposed to allow for ...

The first measurements of the Fourier coefficients (V-n Delta) of the azimuthal distributions of charged hadrons emitted from photon-proton (gamma p) interactions are presented. The data are extracted from 68.8nb(-1) of ultra-peripheral proton-lead (pPb) c ...

The monumental progress in the development of machine learning models has led to a plethora of applications with transformative effects in engineering and science. This has also turned the attention of the research community towards the pursuit of construc ...

The present invention concerns an energy dispersion calibration method for calibrating an electron spectrometer of an electron spectrometer system including at least one electron emission source, electron optics and the electron spectrometer. The method co ...

We present a statistical framework to benchmark the performance of reconstruction algorithms for linear inverse problems, in particular, neural-network-based methods that require large quantities of training data. We generate synthetic signals as realizati ...

Few-Shot Object Detection (FSOD) allows fast adaptation of an object detection model to new classes of objects using few examples per class. This has many applications, in particular in satellite and aerial observation, as it allows learning from experts w ...

Single Domain Generalization (SDG) tackles the problem of training a model on a single source domain so that it generalizes to any unseen target domain. While this has been well studied for image classification, the literature on SDG object detection remai ...

Cross-resolution face recognition has become a challenging problem for modern deep face recognition systems. It aims at matching a low-resolution probe image with high-resolution gallery images registered in a database. Existing methods mainly leverage pri ...

Finite simplex lattice models are used in different branches of science, e.g., in condensed-matter physics, when studying frustrated magnetic systems and non-Hermitian localization phenomena; or in chemistry, when describing experiments with mixtures. An n ...

A Unifying Parametric Framework for 2D Steerable Wavelet Transforms

Chattez avec Graph Search

Nonlinear interactions of ion acoustic waves explored using fast imaging decompositions

Functional data analysis with rough sample paths?

Two-particle azimuthal correlations in γp interactions using pPb collisions at √sNN=8.16 TeV

Probabilistic methods for neural combinatorial optimization

Electron spectrometer calibration method

A Statistical Framework to Investigate the Optimality of Signal-Reconstruction Methods

Improving Few-Shot Object Detection with Object Part Proposals

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation

Fully solvable finite simplex lattices with open boundaries in arbitrary dimensions