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pro vyhledávání: '"Fein AS"'
Image inpainting is a fundamental task in computer vision, aiming to restore missing or corrupted regions in images realistically. While recent deep learning approaches have significantly advanced the state-of-the-art, challenges remain in maintainin
Externí odkaz:
http://arxiv.org/abs/2412.01682
Data representation in non-Euclidean spaces has proven effective for capturing hierarchical and complex relationships in real-world datasets. Hyperbolic spaces, in particular, provide efficient embeddings for hierarchical structures. This paper intro
Externí odkaz:
http://arxiv.org/abs/2409.16897
Attention mechanisms are critically important in the advancement of synthetic aperture radar (SAR) automatic target recognition (ATR) systems. Traditional SAR ATR models often struggle with the noisy nature of the SAR data, frequently learning from b
Externí odkaz:
http://arxiv.org/abs/2409.00473
Autor:
Fein-Ashley, Jacob
We consider the Ornstein-Uhlenbeck (OU) process, a stochastic process widely used in finance, physics, and biology. Parameter estimation of the OU process is a challenging problem. Thus, we review traditional tracking methods and compare them with no
Externí odkaz:
http://arxiv.org/abs/2404.11526
Autor:
PHILLIPS-FEIN, KIM
Publikováno v:
Nation. Jan2025, Vol. 320 Issue 1, p71-74. 4p. 2 Black and White Photographs.
Autor:
Fein-Ashley, Jacob, Wickramasinghe, Sachini, Zhang, Bingyi, Kannan, Rajgopal, Prasanna, Viktor
Image classifiers for domain-specific tasks like Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) and chest X-ray classification often rely on convolutional neural networks (CNNs). These networks, while powerful, experience high latenc
Externí odkaz:
http://arxiv.org/abs/2402.00564
Parton Distribution Functions (PDFs) contribute significantly to the uncertainty on the determination of the top-quark pole mass and other precision measurements at the Large Hadron Collider (LHC). It is crucial to understand these uncertainties and
Externí odkaz:
http://arxiv.org/abs/2401.13050
Synthetic Aperture Radar SAR Automatic Target Recognition ATR is a key technique of remote-sensing image recognition which can be supported by deep neural networks The existing works of SAR ATR mostly focus on improving the accuracy of the target rec
Externí odkaz:
http://arxiv.org/abs/2312.06940
Autor:
Lindner, Stefan, Juschitz, Paul, Rieser, Jakob, Fein, Yaakov Y., Ciampini, Mario, Aspelmeyer, Markus, Kiesel, Nikolai
Many experiments in the field of optical levitation with nanoparticles today are limited by the available technologies for particle loading. Here we introduce a new particle loading method that solves the main challenges, namely deterministic positio
Externí odkaz:
http://arxiv.org/abs/2311.13920
Autor:
Rebecca R. Canale, Caroline Larson, Rebecca P. Thomas, Marianne Barton, Deborah Fein, Inge-Marie Eigsti
Publikováno v:
Molecular Autism, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Background “Frank autism,” recognizable through the first minutes of an interaction, describes a behavioral presentation of a subset of autistic individuals that is closely tied to social communication challenges, and may be linked to so
Externí odkaz:
https://doaj.org/article/40b8373de49a4524b1d9272e923ce0d9