Suchergebnisse - [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Fidelity of Immersive Representations of Luminous Atmospheres in VR HMDs: Comparing Real Daylit Iconic Interiors and their 360° images

Autoren: Atié, Michèle Spur, Maxim Drozd, Céline et al.

Weitere Verfasser: Atié, Michèle Spur, Maxim Drozd, Céline et al.

Quelle: LEUKOS. :1-31

Schlagwörter: Design education, Architecture, Daylight, Perception, [SHS.ARCHI] Humanities and Social Sciences/Architecture, space management, Virtual reality, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

VOGTNet: Variational Optimization-Guided Two-Stage Network for Multispectral and Panchromatic Image Fusion

Autoren: Wang, Peng He, Zhongchen Huang, Bo et al.

Weitere Verfasser: Wang, Peng He, Zhongchen Huang, Bo et al.

Quelle: IEEE Transactions on Neural Networks and Learning Systems. 36:9268-9282

Schlagwörter: point spread function (PSF), spectral response function (SRF), variational optimization (VO), Pansharpening, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38885100

Learning Weighted Least Squares Data Term for Poisson Image Deconvolution

Autoren: Singh, Abhijit Soubies, Emmanuel Chaux, Caroline et al.

Weitere Verfasser: Singh, Abhijit Soubies, Emmanuel Chaux, Caroline et al.

Quelle: ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Schlagwörter: adaptive discrepancy, restoration, hyperparameter learning, sparsity, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, unrolled networks, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-04887464v1
https://hal.science/hal-04887464v1/document
https://doi.org/10.1109/icassp49660.2025.10888144

MobileViT-based Detection of Anomaly in Measurements of Nuclear Power Plant Core Temperature

Autoren: Cogranne, Rémi IEEE

Weitere Verfasser: Cogranne, Rémi IEEE

Quelle: 2025 International Conference on Advanced Machine Learning and Data Science (AMLDS). :502-508

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Artificial intelligence, Image processing, CUSUM, Sequential methods, Empirical evaluation, Anomaly detection, Supervised learning, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR], [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-05016499v1

Stability estimates for adaptive focused time-frequency transforms

Autoren: Warion, Pierre Torrésani, Bruno

Weitere Verfasser: Warion, Pierre Torrésani, Bruno

Quelle: 2025 International Conference on Sampling Theory and Applications (SampTA). :1-5

Schlagwörter: Adaptive time-frequency transforms, Signal Processing (eess.SP), Mathematics - Classical Analysis and ODEs, Classical Analysis and ODEs (math.CA), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Electrical Engineering and Systems Science - Signal Processing, entropy-based focus functions, [MATH.MATH-CA] Mathematics [math]/Classical Analysis and ODEs [math.CA], time and frequency focus, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2506.08637
https://hal.science/hal-05104321v1

Parallel Whale Optimization Algorithm-Kmeans for Image Segmentation using Multiprocessing

Autoren: Mezaghrani, Ali Debakla, Mohammed Djemal, Khalifa et al.

Weitere Verfasser: Mezaghrani, Ali Debakla, Mohammed Djemal, Khalifa et al.

Quelle: 2025 International Symposium on iNnovative Informatics of Biskra (ISNIB). :1-6

Schlagwörter: Image segmentation, Multiprocessing, Whale Optimization Algorithm, Parallel, Kmeans, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Zugangs-URL: https://univ-evry.hal.science/hal-05112765v1
https://doi.org/10.1109/isnib64820.2025.10983906

Revisiting CHAMPAGNE: Sparse Bayesian Learning as Reweighted Sparse Coding

Autoren: Sechet, Dylan Kowalski, Matthieu Mokhtari, Samy et al.

Weitere Verfasser: Sechet, Dylan Kowalski, Matthieu Mokhtari, Samy et al.

Quelle: 2025 International Conference on Sampling Theory and Applications (SampTA). :1-5

Schlagwörter: Signal Processing (eess.SP), Sparse Bayesian Learning, Inverse problem, Signal Processing, reweighted (group)-lasso, FOS: Electrical engineering, electronic engineering, information engineering, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2506.20534
https://hal.science/hal-05130740v1/document
https://hal.science/hal-05130740v1
https://doi.org/10.1109/sampta64769.2025.11133512

Variational Autoencoder with Gaussian Random Field prior: Application to unsupervised animal detection in aerial images

Autoren: Gangloff, Hugo Pham, Minh-Tan Courtrai, Luc et al.

Weitere Verfasser: Gangloff, Hugo Pham, Minh-Tan Courtrai, Luc et al.

Quelle: ISPRS Journal of Photogrammetry and Remote Sensing. 218:600-609

Schlagwörter: [STAT.AP]Statistics [stat]/Applications [stat.AP], [STAT.AP] Statistics [stat]/Applications [stat.AP], [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], Variational autoencoders anomaly detection Gaussian random fields aerial images, Gaussian random fields, aerial images, Variational autoencoders, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], anomaly detection, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-04719231v1/document
https://doi.org/10.1016/j.isprsjprs.2024.09.028
https://hal.science/hal-04719231v1
https://hal.science/hal-03774853v1
https://doi.org/10.1109/icip49359.2023.10222900
https://hal.science/hal-03774853v1/document

Wavelet-Based Dual-Task Network

Autoren: Wu, Fuzhi Wu, Jiasong Zhang, Chen et al.

Weitere Verfasser: Wu, Fuzhi Wu, Jiasong Zhang, Chen et al.

Quelle: IEEE Transactions on Neural Networks and Learning Systems. 36:12117-12130

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [SDV.IB] Life Sciences [q-bio]/Bioengineering, Wavelet transforms, Biomedical imaging, Nonhomogeneous media, Resource management, Information processing, Feature extraction, Convolutional neural networks, Deep learning, Wavelet domain, Wavelet analysis, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/39504296
https://hal.science/hal-04780144v1/document
https://doi.org/10.1109/tnnls.2024.3486330
https://hal.science/hal-04780144v1

Visual Prostheses in the Era of Artificial Intelligence Technology

Autoren: Sarbout, Ilias Gungor, Ayse Ounissi, Mehdi et al.

Weitere Verfasser: Sarbout, Ilias Gungor, Ayse Ounissi, Mehdi et al.

Quelle: Sarbout, I, Gungor, A, Ounissi, M, Zaher, S, Ptito, M, Kupers, R, Racoceanu, D & Milea, D 2025, ' Visual Prostheses in the Era of Artificial Intelligence Technology ', Eye and Brain, vol. 17, pp. 95-113 . https://doi.org/10.2147/EB.S524322

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], visual impairment, [INFO.INFO-IM] Computer Science [cs]/Medical Imaging, vision restoration, artificial intelligence, blindness, rehabilitation, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://curis.ku.dk/ws/files/472928929/EB-524322-visual-prostheses-in-the-era-of-artificial-intelligence-tech.pdf

Classification of Buried Objects From Ground Penetrating Radar Images by Using Second-Order Deep Learning Models

Autoren: Douba Jafuno Ammar Mian Guillaume Ginolhac et al.

Weitere Verfasser: Douba Jafuno Ammar Mian Guillaume Ginolhac et al.

Quelle: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 3185-3197 (2025)

Schlagwörter: Ground Penetrating Radar covariance matrices buried objects classification Symmetric Positive Definite matrix networks, FOS: Computer and information sciences, Computer Science - Machine Learning, buried objects classification, QC801-809, Buried objects classification, Computer Vision and Pattern Recognition (cs.CV), Geophysics. Cosmic physics, Computer Science - Computer Vision and Pattern Recognition, covariance matrices, Ground Penetrating Radar, Symmetric Positive Definite matrix networks, Statistics - Applications, Machine Learning (cs.LG), Ocean engineering, symmetric positive definite matrix networks, Applications (stat.AP), [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ground penetrating radar, TC1501-1800

Zugangs-URL: http://arxiv.org/abs/2410.07117
https://doaj.org/article/282cbd432b2845d3ad41c9d1bd722b97

Detectability of Defects in the Presence of Linear Nuisance Parameters and Images Signal-Dependent Noise

Autoren: Cogranne, Rémi

Weitere Verfasser: Cogranne, Rémi

Quelle: 2024 IEEE International Conference on Image Processing (ICIP). :1357-1363

Schlagwörter: [STAT.AP] Statistics [stat]/Applications [stat.AP], Signal-dependent noise, Nuisance parameters, Defects detection, [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation, Nondestructive testing, [INFO] Computer Science [cs], [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://utt.hal.science/hal-04605993v1

A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations

Autoren: Bodrito, Théo Flasseur, Olivier Mairal, Julien et al.

Weitere Verfasser: Bodrito, Théo Flasseur, Olivier Mairal, Julien et al.

Quelle: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :1230-1240

Schlagwörter: High contrast imaging, Earth and Planetary Astrophysics (astro-ph.EP), FOS: Computer and information sciences, Computer Science - Machine Learning, Astronomy, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, [SDU.ASTR.EP] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Earth and Planetary Astrophysics [astro-ph.EP], FOS: Physical sciences, [INFO] Computer Science [cs], Statistics - Applications, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Machine Learning (cs.LG), High angular resolution, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [SDU.ASTR.IM] Sciences of the Universe [physics]/Astrophysics [astro-ph]/Instrumentation and Methods for Astrophysic [astro-ph.IM], [STAT.AP] Statistics [stat]/Applications [stat.AP], Machine learning, Exoplanet detection methods, Applications (stat.AP), Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing, Astrophysics - Earth and Planetary Astrophysics

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2503.17117
https://hal.science/hal-05000360v1

Enhancing Ant-Inspired Visual Compass with Focused Visual Scan in a Compact Robot

Autoren: Gattaux, Gabriel Wystrach, Antoine Ruffier, Franck et al.

Weitere Verfasser: Gattaux, Gabriel Wystrach, Antoine Ruffier, Franck et al.

Quelle: 2025 IEEE 7th International Conference on Artificial Intelligence Circuits and Systems (AICAS). :1-5

Schlagwörter: Bio-inspired robotics, [SPI.AUTO] Engineering Sciences [physics]/Automatic, neural network, [SCCO.NEUR] Cognitive science/Neuroscience, neuromorphic, navigation, computer vision, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-05055159v1/document
https://doi.org/10.1109/aicas64808.2025.11173128
https://hal.science/hal-05055159v1

Time and covariance smoothing for restoration of bivariate signals

Autoren: Pilavci, Yusuf Yigit Palud, Pierre Flamant, Julien et al.

Weitere Verfasser: Pilavci, Yusuf Yigit Palud, Pierre Flamant, Julien et al.

Quelle: 2025 IEEE Statistical Signal Processing Workshop (SSP). :141-145

Schlagwörter: erences, Signal Processing (eess.SP), polarization, erences style template typesetting, template, style, bivariate signals, bivariate signals denoising polarization covariance ADMM, covariance, Signal Processing, denoising, FOS: Electrical engineering, electronic engineering, information engineering, typesetting, ADMM, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2506.20237
https://hal.science/hal-05125331v1
https://hal.science/hal-05125331v1/document
https://hal.science/hal-05125331v1

Lightweight Trustworthy Distributed Clustering

Autoren: Li, Hongyang Wu, Caesar Chadli, Mohammed et al.

Weitere Verfasser: Li, Hongyang Wu, Caesar Chadli, Mohammed et al.

Quelle: 2025 37th Chinese Control and Decision Conference (CCDC). :2549-2554

Schlagwörter: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Artificial Intelligence, Collaborative Data Processing, Edge Computing, Distributed, Parallel, and Cluster Computing (cs.DC), Distributed Learning, Distributed Computing, Trustworthiness, k-means Clustering, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Zugangs-URL: http://arxiv.org/abs/2504.10109
https://univ-evry.hal.science/hal-05233063v1
https://doi.org/10.1109/ccdc65474.2025.11090494

Simultaneous Information and Energy Transmission With Short Packets and Finite Constellations

Autoren: Sadaf ul Zuhra Samir M. Perlaza H. Vincent Poor et al.

Weitere Verfasser: Sadaf ul Zuhra Samir M. Perlaza H. Vincent Poor et al.

Quelle: IEEE Transactions on Communications

Schlagwörter: converse, FOS: Computer and information sciences, finite channel inputs, Computer Science - Information Theory, Information Theory (cs.IT), SWIPT, finite block-length, information-energy regions, [MATH.MATH-IT] Mathematics [math]/Information Theory [math.IT], SIET, achievability, [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], Simultaneous information and energy transmission, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: http://arxiv.org/abs/2408.07807
https://inria.hal.science/hal-03848708v2

Enhancing Drone Localization with Joint UWB and Radar Measurements Using CIR Processing

Autoren: Villien, Christophe CEA, Contributeur MAP

Weitere Verfasser: Villien, Christophe CEA, Contributeur MAP

Quelle: 2024 14th International Conference on Indoor Positioning and Indoor Navigation (IPIN). :1-6

Schlagwörter: [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://cea.hal.science/cea-05200709v1/document
https://cea.hal.science/cea-05200709v1
https://doi.org/10.1109/ipin62893.2024.10786174

Reinforcement Learning with Model-Based Static Output Feedback for Vehicle Lateral Control

Autoren: Mahmoud, Eslam Mammar, Saïd Smaïli, Mohand et al.

Weitere Verfasser: Mahmoud, Eslam Mammar, Saïd Smaïli, Mohand et al.

Quelle: 2025 IEEE Intelligent Vehicles Symposium (IV). :2473-2478

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], State-Feedback, [SPI.AUTO] Engineering Sciences [physics]/Automatic, Reinforcement learning, Lane-keeping, Policy iteration al- gorithm, Output-feedback, Stability, Policy search algorithm, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf

Zugangs-URL: https://univ-evry.hal.science/hal-05095739v1

Model-Free Optimal Static Output Feedback Control using Integral Reinforcement Learning

Autoren: Mahmoud, Eslam Mammar, Saïd Smaïli, Mohand et al.

Weitere Verfasser: Mahmoud, Eslam Mammar, Saïd Smaïli, Mohand et al.

Quelle: 2025 33rd Mediterranean Conference on Control and Automation (MED). :25-30

Schlagwörter: [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Adaptive Control, [SPI.AUTO] Engineering Sciences [physics]/Automatic, Optimal Control, Static Output Feedback, Model-Free Control, Integral Reinforcement Learning, Reinforcement Learning, [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing

Dateibeschreibung: application/pdf