The linear memory complexity of moscot.time enables it to process developmental atlases on a laptop, whereas WOT failed on a server (Fig. 2b, Methods and Extended Data Fig. 1). Fig. 2: Moscot faithfully reconstructs atlas-scale developmental trajectories. a, Schematic of an example mouse ...
However, its quadratic time and space complexity is an obstacle to its applications in the large time series data mining. To address this problem, some lower-bound functions for DTW, fast methods to approximately measure the distance between time series, are used to prune the dissimilar objects ...
average, combine, xy combine, multiple derivatives, integration, linear fit, linear scaling, logarithm, normalization, reciprocal, smoothing, truncation, baseline suppression and trace merging. There is also a peak finder provided. All these functions can greatly facilitate data processing and ...
but still much better than the 108us that we were at before my original PR). It's not easily fixable, though -- Triton's frontend expressive power has increased, as we now support tuples and functions as arguments.
The Finite-Fault Rupture Detector (FinDer) algorithm (Böse et al. 2012, 2015, 2018) computes rapid line-source models from template matching and is suited for small to large earthquakes (M2–M9) with rupture length ranging from less than one to several hundred kilometers. The FinDer uses ...
The tool extracts the real-time (periodic and sporadic) tasks and symbolically executes them using Symbolic PathFinder [3]. The paths obtained, are translated into a Network of Timed Automata—the modeling formalism of the UPPAAL model checker—and combined with models of the scheduler. The ...
Besides, the new algorithm has a much simpler structure than the Binary Pathfinder as well as it saves a significant amount of memory with respect to the original Pathfinder by reducing the space complexity to the need of just storing two matrices. An experimental comparison will be developed ...
The input weights mapping the feature space to the input values for each virtual node are not trained and are selected randomly from a uniform distribution between 0 and 1. This offers the same benefits as in RC systems in terms of lightweight training process. Importantly, the use of (...
particularly in high-traffic areas [25,26]. For example, research has shown that contrail-induced cloudiness can lead to warmer nights, as the clouds trap heat that would otherwise be lost to space [27]. This can have downstream effects on weather patterns, agricultural practices, and even hu...
Based on these two technologies, semantic mapping not only maps 3D space but also its meaning. The most basic map representation method for expressing 3D space is to use point clouds, and, thus, the semantic point cloud map contains a semantic label for each point. When considering mapping a...