Results 91 to 100 of about 377,650 (220)

Local Equivalence and Intrinsic Metrics between Reeb Graphs

open access: yes, 2017
As graphical summaries for topological spaces and maps, Reeb graphs are common objects in the computer graphics or topological data analysis literature. Defining good metrics between these objects has become an important question for applications, where it matters to quantify the extent by which two given Reeb graphs differ.
Carrière, Mathieu, Oudot, Steve
openaire   +5 more sources

Prediction of intrinsic and extraneous cognitive load with oculometric and biometric indicators

open access: yesScientific Reports
This study focused on the prediction of intrinsic and extraneous cognitive load using eye-tracking metrics, heart rate variability, and galvanic skin response.
Merve Ekin   +4 more
doaj   +1 more source

Intrinsic L_p metrics for convex bodies

open access: yes, 2003
Intrinsic $L_p$ metrics are defined and shown to satisfy a dimension--free bound with respect to the Hausdorff metric.
openaire   +2 more sources

Data-intrinsic approximation in metric spaces

open access: yes
Analysis and processing of data is a vital part of our modern society and requires vast amounts of computational resources. To reduce the computational burden, compressing and approximating data has become a central topic. We consider the approximation of labeled data samples, mathematically described as site-to-value maps between finite metric spaces.
Dölz, Jürgen, Multerer, Michael
openaire   +2 more sources

Optimizing the spatial approximation tree from the root

open access: yesJournal of Computer Science and Technology, 2008
Many computational applications need to look for information in a database. Nowadays, the predominance of nonconventional databases makes the similarity search (i.e., searching elements of the database that are "similar" to a given query) becomes a ...
Alejandro J. Gómez   +2 more
doaj  

Robust estimation of the intrinsic dimension of data sets with quantum cognition machine learning

open access: yesScientific Reports
We propose a new data representation method based on Quantum Cognition Machine Learning and apply it to manifold learning, specifically to the estimation of intrinsic dimension of data sets.
Luca Candelori   +10 more
doaj   +1 more source

Analysis of network behavior characteristic and influence factor based on the peak traffic

open access: yesTongxin xuebao, 2012
Based on the burstiness of network traffic,the peak traffic metric was introduced,and the method which was used to evaluate network operation and plan capacity was proposed.The network intrinsic features and the peak traffic for the 21 CERNET campus ...
Ai-ping ZHOU, Guang CHENG
doaj   +2 more sources

Metric-preserving functions with respect to an intrinsic metric

open access: yes, 2021
Metric-preserving functions have been studied in general topology from a theoretical point of view and have applications in xed point theory, as well as in metric geometry to construct new metrics from known metrics.
openaire   +1 more source

Home - About - Disclaimer - Privacy