Results 41 to 50 of about 1,974,250 (242)
Finding biclusters by random projections
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Stefano Lonardi +2 more
openaire +2 more sources
Numerical solution of the Poisson equation on domains with a thin layer of random thickness [PDF]
The present article is dedicated to the numerical solution of the Poisson equation on domains with a thin layer of different conductivity and of random thickness.
Dambrine, Marc +3 more
core +1 more source
A Hybrid Protection Scheme for the Gait Analysis in Early Dementia Recognition
Human activity recognition (HAR) through gait analysis is a very promising research area for early detection of neurodegenerative diseases because gait abnormalities are typical symptoms of some neurodegenerative diseases, such as early dementia.
Francesco Castro +2 more
doaj +1 more source
Tensor Train Random Projection
This work proposes a novel tensor train random projection (TTRP) method for dimension reduction, where pairwise distances can be approximately preserved. Our TTRP is systematically constructed through a tensor train (TT) representation with TT-ranks equal to one.
Yani Feng +4 more
openaire +2 more sources
Randomized Projection Learning Method for Dynamic Mode Decomposition
A data-driven analysis method known as dynamic mode decomposition (DMD) approximates the linear Koopman operator on a projected space. In the spirit of Johnson–Lindenstrauss lemma, we will use a random projection to estimate the DMD modes in a reduced ...
Sudam Surasinghe, Erik M. Bollt
doaj +1 more source
Similarity Search Based on Random Projection for High Frequency Time Series
Similarity search in high frequency time series of domains as diverse as finance, marketing and industry has attracted much research attention recently. The main notions used in similarity search for time series are defined in a formal way.
Wu W(吴薇) +3 more
core +1 more source
Improved Test for High-Dimensional Mean Vectors and Covariance Matrices Using Random Projection
This paper proposes an improved random projection-based method for testing high-dimensional two-sample mean vectors and covariance matrices. For mean testing, the proposed approach incorporates training data to guide the construction of projection ...
Tung-Lung Wu
doaj +1 more source
Random projections for Bayesian regression [PDF]
This article deals with random projections applied as a data reduction technique for Bayesian regression analysis. We show sufficient conditions under which the entire $d$-dimensional distribution is approximately preserved under random projections by reducing the number of data points from $n$ to $k\in O(\operatorname{poly}(d/\varepsilon))$ in the ...
Leo N. Geppert +4 more
openaire +4 more sources
Bearings are critical components in rotating machinery, and their failure can lead to costly repairs and downtime. To prevent such failures, it is important to detect and diagnose bearing faults early. In recent years, deep-learning techniques have shown
Boubker Najdi +2 more
doaj +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source

