Results 181 to 190 of about 50,928 (234)
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Computers & industrial engineering, 2021
In this work, the combination between the Principal Component Analysis (PCA) and the Hotelling’s T2 chart is proposed to solve problems caused by the many highly correlated network traffic features and to reduce the computational time without reducing ...
M. Mashuri +4 more
semanticscholar +1 more source
In this work, the combination between the Principal Component Analysis (PCA) and the Hotelling’s T2 chart is proposed to solve problems caused by the many highly correlated network traffic features and to reduce the computational time without reducing ...
M. Mashuri +4 more
semanticscholar +1 more source
, 2021
Violent windstorms are becoming more prevalent in African inland towns and cities. Yet, very few studies have reported on their increasing occurrences in sub-Saharan Africa's low-density and medium-sized cities and towns.
K. M. Kafi, Aliyu Salisu Barau, A. Aliyu
semanticscholar +1 more source
Violent windstorms are becoming more prevalent in African inland towns and cities. Yet, very few studies have reported on their increasing occurrences in sub-Saharan Africa's low-density and medium-sized cities and towns.
K. M. Kafi, Aliyu Salisu Barau, A. Aliyu
semanticscholar +1 more source
A Novel Data-Driven MPC Framework Using KDE and KPCA for Autonomous Vehicles
IEEE AccessModeling and controlling complex, nonlinear, large-scale systems such as autonomous vehicles presents significant challenges due to high dimensionality, uncertain dynamics, and real-time constraints.
Romdhan Nasri +4 more
semanticscholar +1 more source
Quantitative data visualization with interactive KDE surfaces
Proceedings of the 26th Spring Conference on Computer Graphics, 2010Kernel density estimation (KDE) is an established statistical concept for assessing the distributional characteristics of data that also has proven its usefulness for data visualization. In this work, we present several enhancements to such a KDE-based visualization that aim (a) at an improved specificity of the visualization with respect to the ...
Martin Florek, Helwig Hauser
openaire +1 more source
arXiv.org
We reveal a precise mathematical framework about a new family of generative models which we call Gradient Flow Drifting. With this framework, we prove an equivalence between the recently proposed Drifting Model and the Wasserstein gradient flow of the ...
Jiarui Cao, Zixuan Wei, Yuxing Liu
semanticscholar +1 more source
We reveal a precise mathematical framework about a new family of generative models which we call Gradient Flow Drifting. With this framework, we prove an equivalence between the recently proposed Drifting Model and the Wasserstein gradient flow of the ...
Jiarui Cao, Zixuan Wei, Yuxing Liu
semanticscholar +1 more source
KDE Paring and a Faster Mean Shift Algorithm
SIAM Journal on Imaging Sciences, 2010The kernel density estimate (KDE) is a nonparametric density estimate which has broad application in computer vision and pattern recognition. In particular, the mean shift procedure uses the KDE structure to cluster or segment data, including images and video.
Daniel Freedman
exaly +2 more sources
Online Anomaly Detection Using KDE
GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference, 2009Large backbone networks are regularly affected by a range of anomalies. This paper presents an online anomaly detection algorithm based on Kernel Density Estimates. The proposed algorithm sequentially and adaptively learns the definition of normality in the given application, assumes no prior knowledge regarding the underlying distributions, and then ...
openaire +1 more source
Human and Ecological Risk Assessment, 2019
Rural deteriorated textures (RDTs) are vulnerable against natural hazards (particularly earthquakes); thus, they need planning and coordinated intervention so that they can be organized.
L. Dayyani +3 more
semanticscholar +1 more source
Rural deteriorated textures (RDTs) are vulnerable against natural hazards (particularly earthquakes); thus, they need planning and coordinated intervention so that they can be organized.
L. Dayyani +3 more
semanticscholar +1 more source
Fast Data Reduction via KDE Approximation
2009 Data Compression Conference, 2009Many of today’s real world applications need to handle and analyze continually growing amounts of data, while the cost of collecting data decreases. As a result, the main technological hurdle is that the data is acquired faster than it can be processed.
Daniel Freedman, Pavel Kisilev
openaire +1 more source