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pro vyhledávání: '"Keller, James"'
Autor:
Wang, Ruoxi, Allahverdian, Amin, Colombini, Smilla, Durand-Brousseau, Nathan, Marroquın, Kevin, Keller, James, Sous, John, Prem, Abhinav, Grant, Edward
Prethermalization occurs as an important phase in the dynamics of many-body systems when strong coupling drives a quasi-equilibrium in a subspace separated from the thermodynamic equilibrium by the restriction of a gap in energy or other conserved qu
Externí odkaz:
http://arxiv.org/abs/2406.08433
Synthetic aperture sonar (SAS) imagery is crucial for several applications, including target recognition and environmental segmentation. Deep learning models have led to much success in SAS analysis; however, the features extracted by these approache
Externí odkaz:
http://arxiv.org/abs/2209.03878
The Possibilistic Fuzzy Local Information C-Means (PFLICM) method is presented as a technique to segment side-look synthetic aperture sonar (SAS) imagery into distinct regions of the sea-floor. In this work, we investigate and present the results of
Externí odkaz:
http://arxiv.org/abs/2110.07433
Publikováno v:
In Journal of Sound and Vibration 28 April 2024 576
Synthetic Aperture Sonar (SAS) surveys produce imagery with large regions of transition between seabed types. Due to these regions, it is difficult to label and segment the imagery and, furthermore, challenging to score the image segmentations approp
Externí odkaz:
http://arxiv.org/abs/2103.04872
In this work, we present an in-depth and systematic analysis using tools such as local interpretable model-agnostic explanations (LIME) (arXiv:1602.04938) and divergence measures to analyze what changes lead to improvement in performance in fine tune
Externí odkaz:
http://arxiv.org/abs/2101.03134
Feature representation is an important aspect of remote-sensing based image classification. While deep convolutional neural networks are able to effectively amalgamate information, large numbers of parameters often make learned features inscrutable a
Externí odkaz:
http://arxiv.org/abs/2012.15764