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We consider a system of binary interacting chains describing the dynamics of a group of $N$ components that, at each time unit, either send some signal to the others or remain silent otherwise. The interactions among the chains are encoded by a direc
Externí odkaz:
http://arxiv.org/abs/2406.07066
Automated scraping stands out as a common method for collecting data in deep learning models without the authorization of data owners. Recent studies have begun to tackle the privacy concerns associated with this data collection method. Notable appro
Externí odkaz:
http://arxiv.org/abs/2406.02883
In numerous fields, dynamic time series data require continuous updates, necessitating efficient data processing techniques for accurate analysis. This paper examines the banana tree data structure, specifically designed to efficiently maintain persi
Externí odkaz:
http://arxiv.org/abs/2405.17920
Today, most methods for image understanding tasks rely on feed-forward neural networks. While this approach has allowed for empirical accuracy, efficiency, and task adaptation via fine-tuning, it also comes with fundamental disadvantages. Existing ne
Externí odkaz:
http://arxiv.org/abs/2404.12359
Autor:
Anibal, James, Huth, Hannah, Li, Ming, Hazen, Lindsey, Lam, Yen Minh, Nguyen, Hang, Hong, Phuc, Kleinman, Michael, Ost, Shelley, Jackson, Christopher, Sprabery, Laura, Elangovan, Cheran, Krishnaiah, Balaji, Akst, Lee, Lina, Ioan, Elyazar, Iqbal, Ekwati, Lenny, Jansen, Stefan, Nduwayezu, Richard, Garcia, Charisse, Plum, Jeffrey, Brenner, Jacqueline, Song, Miranda, Ricotta, Emily, Clifton, David, Thwaites, C. Louise, Bensoussan, Yael, Wood, Bradford
Large AI models trained on audio data may have the potential to rapidly classify patients, enhancing medical decision-making and potentially improving outcomes through early detection. Existing technologies depend on limited datasets using expensive
Externí odkaz:
http://arxiv.org/abs/2404.01620
We present a dynamic data structure for maintaining the persistent homology of a time series of real numbers. The data structure supports local operations, including the insertion and deletion of an item and the cutting and concatenating of lists, ea
Externí odkaz:
http://arxiv.org/abs/2311.01115
We study random walks on Erd\"os-R\'enyi random graphs in which, every time the random walk returns to the starting point, first an edge probability is independently sampled according to a priori measure $\mu$, and then an Erd\"os-R\'enyi random grap
Externí odkaz:
http://arxiv.org/abs/2310.12355
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The perception of a continuous phantom in a sensory domain in the absence of an external stimulus is explained as a maladaptive compensation of aberrant predictive coding, a proposed unified theory of brain functioning. If this were true, th
Externí odkaz:
https://doaj.org/article/aebf7e81c6da4017abb35d7daad77974
Emerging reconfigurable datacenters allow to dynamically adjust the network topology in a demand-aware manner. These datacenters rely on optical switches which can be reconfigured to provide direct connectivity between racks, in the form of edge-disj
Externí odkaz:
http://arxiv.org/abs/2301.05751
Publikováno v:
NeuroImage, Vol 297, Iss , Pp 120713- (2024)
Research indicates that hearing loss significantly contributes to tinnitus, but it alone does not fully explain its occurrence, as many people with hearing loss do not experience tinnitus. To identify a secondary factor for tinnitus generation, we ex
Externí odkaz:
https://doaj.org/article/5128a4f2eeac458cb1d26cc28e79416c