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 ...
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 ...
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 ...
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 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 ...
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 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 (...
Variability is a major success factor in software engineering, but also a source of complexity. Configuration can take place at different points in time, including at compile, load, and run time. While compile-time configuration is most resource efficient and safe in that unnecessary and possibly...
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...
Studies of reversible Turing machines (RTMs) often differ in their use of static resources such as the number of tapes, symbols and internal states. However, the interplay between such resources and computational complexity is not well-established for RT