Copertina

Generalizations of the Normalized Radon Cumulative Distribution Transform for Limited Data Recognition

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Beckmann, Matthias, Beinert, Robert, Bresch, Jonas
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Numerical Analysis Computer Vision and Pattern Recognition Information Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image Classification
di: Beckmann, Matthias, et al.
Pubblicazione: (2025)

Max-Normalized Radon Cumulative Distribution Transform for Limited Data Classification
di: Beckmann, Matthias, et al.
Pubblicazione: (2024)

A Discrete Radon Transform Based on the Area of Cube-Plane Intersection
di: Beinert, Robert, et al.
Pubblicazione: (2026)

Denoising Multi-Color QR Codes and Stiefel-Valued Data by Relaxed Regularizations
di: Beinert, Robert, et al.
Pubblicazione: (2025)

On an Analytical Inversion Formula for the Modulo Radon Transform
di: Beckmann, Matthias, et al.
Pubblicazione: (2024)

Fourier-Domain Inversion for the Modulo Radon Transform
di: Beckmann, Matthias, et al.
Pubblicazione: (2023)

Denoising Hyperbolic-Valued Data by Relaxed Regularizations
di: Beinert, Robert, et al.
Pubblicazione: (2024)

Denoising Sphere-Valued Data by Relaxed Total Variation Regularization
di: Beinert, Robert, et al.
Pubblicazione: (2024)

Equivariant Neural Networks for Indirect Measurements
di: Beckmann, Matthias, et al.
Pubblicazione: (2023)

Two Models for Surface Segmentation using the Total Variation of the Normal Vector
di: Weiß, Manuel, et al.
Pubblicazione: (2024)

Methods based on Radon transform for non-affine deformable image registration of noisy images
di: Hurtado, Daniel E., et al.
Pubblicazione: (2024)

Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition
di: Jha, Ashish, et al.
Pubblicazione: (2023)

Non-Negative Reduced Biquaternion Matrix Factorization with Applications in Color Face Recognition
di: Miao, Jifei, et al.
Pubblicazione: (2024)

Spectral Image Data Fusion for Multisource Data Augmentation
di: Luca, Roberta Iuliana, et al.
Pubblicazione: (2024)

Data-Consistent Learning of Inverse Problems
di: Haltmeier, Markus, et al.
Pubblicazione: (2026)

A Stochastic Nonlinear Dynamical System for Smoothing Noisy Eye Gaze Data
di: Thieu, Thoa, et al.
Pubblicazione: (2025)

Generative Prior-Guided Neural Interface Reconstruction for 3D Electrical Impedance Tomography
di: Liu, Haibo, et al.
Pubblicazione: (2025)

Locally-Supervised Global Image Restoration
di: Walder, Benjamin, et al.
Pubblicazione: (2025)

Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization
di: Beinert, Robert, et al.
Pubblicazione: (2023)

Occluded Face Recognition Using Low-rank Regression with Generalized Gradient Direction
di: Wu, Cho-Ying, et al.
Pubblicazione: (2019)

Spatiotemporally adaptive compression for scientific dataset with feature preservation -- a case study on simulation data with extreme climate events analysis
di: Gong, Qian, et al.
Pubblicazione: (2024)

Graph Lineages and Skeletal Graph Products
di: Mjolsness, Eric, et al.
Pubblicazione: (2025)

DARE: A Deformable Adaptive Regularization Estimator for Learning-Based Medical Image Registration
di: Siyal, Ahsan Raza, et al.
Pubblicazione: (2025)

A Plug-and-Play Framework for Volumetric Light-Sheet Image Reconstruction
di: Gong, Yi, et al.
Pubblicazione: (2025)

STORK: Faster Diffusion And Flow Matching Sampling By Resolving Both Stiffness And Structure-Dependence
di: Tan, Zheng, et al.
Pubblicazione: (2025)

User Manual for Model-based Imaging Inverse Problem
di: Wang, Xiaodong
Pubblicazione: (2025)

An incremental algorithm for non-convex AI-enhanced medical image processing
di: Morotti, Elena
Pubblicazione: (2025)

A Comparative Analysis of Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) as Dimensionality Reduction Techniques
di: Gyimadu, Michael, et al.
Pubblicazione: (2025)

T-MLA: A targeted multiscale log-exponential attack framework for neural image compression
di: Kalmykov, Nikolay I., et al.
Pubblicazione: (2025)

Identifying Memorization of Diffusion Models through $p$-Laplace Analysis: Estimators, Bounds and Applications
di: Brokman, Jonathan, et al.
Pubblicazione: (2025)

A machine learning approach for image classification in synthetic aperture RADAR
di: Gaburro, Romina, et al.
Pubblicazione: (2025)

Fast rigid alignment of heterogeneous images in sliced Wasserstein distance
di: Shi, Yunpeng, et al.
Pubblicazione: (2025)

Coupled Reconstruction of 2D Blood Flow and Vessel Geometry from Noisy Images via Physics-Informed Neural Networks and Quasi-Conformal Mapping
di: Zhang, Han, et al.
Pubblicazione: (2025)

Deep Spectral Prior
di: Cheng, Yanqi, et al.
Pubblicazione: (2025)

A Warm-basis Method for Bridging Learning and Iteration: a Case Study in Fluorescence Molecular Tomography
di: Guo, Ruchi, et al.
Pubblicazione: (2025)

Spatial-Spectral Adaptive Fidelity and Noise Prior Reduction Guided Hyperspectral Image Denoising
di: Xie, Xuelin, et al.
Pubblicazione: (2026)

A fast and gridless ORKA algorithm for tracking moving and deforming objects
di: Bossmann, Florian, et al.
Pubblicazione: (2024)

A lightweight residual network for unsupervised deformable image registration
di: Siyal, Ahsan Raza, et al.
Pubblicazione: (2024)

HyDRA: Hybrid Denoising Regularization for Measurement-Only DEQ Training
di: Haltmeier, Markus, et al.
Pubblicazione: (2026)

An Active Contour Model Driven By the Hybrid Signed Pressure Function
di: Zhao, Jing
Pubblicazione: (2024)