Nonnegative matrix factorization (NMF) is widely used to analyze high-dimensional count data because, in contrast to real-valued alternatives such as factor analysis, it produces an interpretable parts-based representation. However, in applications such as spatial transcriptomics, NMF fails to incorporat...
Fig. 1: Cluster learning applied to conceptual and spatial examples. aThe most similar cluster moves (i.e., adjusts its tuning) toward its newest member and becomes associated with a response (blue for bird, red for mammal).bOut of a pool of many randomly tuned clusters, a subset comes ...
In fact, over the last few years, several governments around the world have implemented data privacy legislation to protect consumers, limiting their data sending and storage only to what is consented by them, and absolutely necessary for processing. Some examples of this are the European ...
In this study, an ensemble RBFN method is proposed that not only allows geotechnical anisotropy to be properly incorporated, but also quantifies uncertainty in spatial interpolation. The proposed method is illustrated using numerical examples of cone penetration test (CPT) data, which involve ...
Examples The following example refreshes the metadata for the viewSales.vIndividualCustomer. SQLCopy USEAdventureWorks2022; GOEXECUTEsp_refreshview N'Sales.vIndividualCustomer'; B. Create a script that updates all views that have dependencies on a changed object ...
>>> import candid >>> o = candid.Open('AXCir.oifits') > loading file AXCir.oifits | WARNING: no valid T3AMP values in this HDU | WARNING: no valid T3AMP values in this HDU | Smallest spatial scale: 2.68 mas | Diffraction Field of view: 221.88 mas | WL Smearing Field of view...
Synthetic and field data examples demonstrate that, compared with f–x NRNA method, f–x–y NRNA can be more effective in suppressing random noise and improve trace-by-trace consistency, which are useful in conjunction with interactive interpretation and auto-picking tools such as automatic event...
haveannounced the launchof theAI for Math Fund, a new grant program supporting projects that apply AI and machine learning to mathematics, with a focus on automated theorem proving, with an initial $9.2 million in funding. The project funding categories, and examples of projects in such ...
Fig. 1: Neural activity was recorded from hippocampal region CA1 as animals performed a complex nonspatial sequence memory task. a The task involves repeated presentations of sequences of nonspatial events (odor stimuli) and requires subjects (rats) to determine whether each stimulus is presented ...
100 in our examples, but see Fig. S3 in Supplementary Information), our test constitutes a good criterion to assess spatial coherence in the case of time series with time varying spectra. The proposed estimator considers only interactions at the same oscillatory frequency, or 1:1 synchronization....