Multi-modal single cell RNA assays capture RNA content as well as other data modalities, such as spatial cell position or the electrophysiological properties of cells. Compared to dedicated scRNA-seq assays however, they may unintentionally capture RNA f
Versions Notes Abstract In unsupervised learning, clustering is a common starting point for data processing. The convex or concave fusion clustering method is a novel approach that is more stable and accurate than traditional methods such as k-means and hierarchical clustering. However, the optimizatio...
Versions Notes Abstract Iterative reconstruction of density pixel images from measured projections in computed tomography has attracted considerable attention. The ordered-subsets algorithm is an acceleration scheme that uses subsets of projections in a previously decided order. Several methods have been propo...
project(graphic.geometry, outSpatialReference); }); let outSpatialReference = { wkid: 54044 }; // projects an array of points let projectedPoints = projection.project(wgsPoints, outSpatialReference); projectedPoints.forEach(function(point) { console.log(point.x, point.y); });...
I personally kinda agree that notes [7] makes strong argument against the current behavior. And I'll be honest mpv implementation is guilty of following all other players, simply because it works the same... [1]Aleksoid1978/MPC-BE@4521f07 ...
Notes 1 This text is aimed as an analysis and exploration of Giuliana Bruno’s 2022Atmospheres of Projection: Environmentality in Art and Screen Mediaand the paths it outlines for film and media theory. 2 Robert Darr in Maḥmūd ibn ʻAbd al-Karīm Shabistarī,Garden of mystery: The gul...
The projection bias is a self-forecasting error, where we overestimate how much our future selves will share the same beliefs, values and behaviors as our current selves
If the planes containing the three views are folded back into the plane of the drawing board, then the result is shown in Fig. 4.7 where dimensions have also been added. The draughtsman adjusts the distances between views to provide adequate spaces for the dimensions and notes. Sign in to ...
Mathematical NotesS. V. KONJAGIN, Sets of points of nonemptiness and continuity of the metric projection, Mat. Zamerki 33 (1983), 641-655. [Russian]Sets of points of nonemptiness and continuity of a metric projection, Mat. Zametki 33 (1983), no. 5, 641-655 (Russian)....
The nonexpansiveness property of the projection operator, PC(⋅), guarantees that the distance between two points can never be smaller than the distance between their respective projections on a closed convex set. In the case of a projection operator on a closed convex set, we know that the...