Accordingly, RAG discovers a different structure for each domain: at test time, the proper one is selected depending on the domain faced, by a Scene Router network ensembling a set of auto-encoders trained on the single domains during adaptation. 3.1.3 Online Stereo Adaptation When stereo image...
Big data has a substantial role nowadays, and its importance has significantly increased over the last decade. Big data’s biggest advantages are providing knowledge, supporting the decision-making process, and improving the use of resources, services, a
Cluster-based repairing methods take into account the impact of repair on downstream clustering applications, and in turn, utilize clustering signals to guide data cleaning. For example, DORC [35] improves the quality of clustering results by combining data cleaning with density-based clustering, and...
proposed SAPAS for identifying pAs from poly(A)-containing reads and quantifying pAs in peak regions determined by a parametric clustering algorithm [102]. They further applied SAPAS to the scRNA-seq data of GABAergic neurons and detected cell type-specific APA events and cell-to-cell modality...
A Fingerprint Localization Algorithm Based on Low-Density Tags Indoor location, Fingerprint location Document Understanding with Multi-modal Large Language Model : A Survey Document Understanding, Multi-modal Large Language, Document AI, Document VQA Towards human-like multimodal perception and cognition: ...
They show that these measures can weaken the epidemic’s intensity, delay its peak, and in some regions, even seriously limit the number of infected individuals. Using the same dataset, Lima et al. proposed a different approach [164], namely using the connection between people to launch an ...
[98] proposed an algorithm based on α-stable model similarity in wavelet domain. The au- thors found that the leptokurtic and heavy-tailed behaviors of image wavelet coefficients are characterized by symmetric α-stable density, and the model parameters are highly correlated to the distortions. ...
The following sections delve into a systematic categorization of deep learning-based harmonization methods. This categorization is based on these four key aspects: Network Architecture: The underlying structure of the neural network. Network Learning Algorithm: The specific optimization technique used for ...
In a calculated density image, both execute mode-seeking, every pixel is specified to the method it falls into. 3.2 Watershed-based methods These methods are based on the watershed algorithm (WT) [98, 130] and typically vary in how the image is pre-processed and how markers are set. The...
They show that these measures can weaken the epidemic’s intensity, delay its peak, and in some regions, even seriously limit the number of infected individuals. Using the same dataset, Lima et al. proposed a different approach [164], namely using the connection between people to launch an ...