A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Entropy-Based Clustering Algorithm for Fingerprint Singular Point Detection
2019
Entropy
Preserved Fulltext
Finally, an adaptive method based on wavelet extrema and the Henry system for core point detection is proposed. ...
First, an innovative enhancement method based on singular value decomposition is applied to remove the background of the fingerprint image. ...
Acknowledgments: The authors appreciate the support from National Kaohsiung University of Science and Technology in Taiwan.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/e21080786
pmid:33267499
fatcat:fusx4pvtyngtrh55mio6dcdru4
Analysis of potential field data in the wavelet domain
1999
Geophysical Journal International
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Some simple, synthetic examples in two dimensions illustrate one inversion approach based upon the maxima of the wavelet transform (multiscale edges). ...
Such a construction leads to relations between the horizontal derivatives of geophysical field measurements at all heights, and the wavelet transform of the zero height field. ...
Such edges also go by the name of 'fingerprints', a guise in which they have already commonly called a 'worm diagram' or skeletonization. ...
doi:10.1046/j.1365-246x.1999.00788.x
fatcat:5zrfogkkbjbq3iqwjt7vb2nqwy
Theoretical Foundations of Anisotropic Diffusion in Image Processing
[chapter]
1996
Computing Supplement
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This chapter also shows how one can design efficient numerical methods which are in accordance with the fully discrete scale-space framework and which are based on an additive operator splitting (AOS). ...
Their qualities are illustrated using images arising from computer aided quality control and medical applications, but also fingerprint im-viii ...
Applications Continuous-scale morphology has been applied to shape-from-shading problems, gridless image halftoning, distance transformations, and skeletonization. ...
doi:10.1007/978-3-7091-6586-7_13
dblp:conf/tfcv/Weickert94
fatcat:pu7ukgair5c63fzkkew3rq7tya
Proceedings_of_Measuring_Behavior_2014.pdf
[article]
2020
Figshare
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Proceedings of the 9th International Conference on Methods and Techniques in Behavioral Research ...
Ethical statement All experiments reported here were performed with the permission of the Animal Ethics Committee ('Lely-DEC') and in full compliance with the legal requirements of Dutch legislation on ...
FSL facilities are offered for evidence based research and education at Aalborg University, including Integrated Food Studies and PhD courses. ...
doi:10.6084/m9.figshare.11708187
fatcat:62o74kbgczf2tp2dk64jeszxr4
Ab initio machine learning in chemical compound space
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Such Quantum mechanics based Machine Learning (QML) approaches combine the numerical efficiency of statistical surrogate models with an ab initio view on matter. ...
We review studies aimed at tackling this challenge using modern machine learning techniques based on (i) synthetic data, typically generated using quantum mechanics based methods, and (ii) model architectures ...
A constant-size descriptor based on a combination of the CM with more common molecular graph fingerprints was also proposed in 2018 [240] . ...
arXiv:2012.07502v4
fatcat:2sfiyd5uwzdblafxjv4vmh3ule
Engineering, Technology & Applied Science Research (ETASR), Vol. 12, No. 1, pp. 7974-8227
2022
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
of science application, technology, and engineering. ...
ETASR is indexed in the Web of Science Core Collection (former Web of Science/Thomson Reuters Master Journal List), through the Emerging Sources Citation Index, is a Crossref member (DOI prefix: 10.48084 ...
The authors in [65] used the protein homology model along with 28 DL models and Reinforcement Learning (RL) techniques to evaluate drugs based on some predefined metrics. ...
doi:10.5281/zenodo.6369694
fatcat:nvdnhvh53rcvhiic5lij7azjka
Fluctuations and synchronization in complex physiological systems
[article]
2018
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This deficiency led to the development of the wavelet transform modulus maxima (WTMM) methoda generalized box counting approach based on wavelet transform [Muzy et al. 1991 [Muzy et al. , 1994 Arneodo ...
Wavelet Transform Modulus Maxima (WTMM) The wavelet transform modulus maxima (WTMM) was originally introduced to incorporate detrending capabilities of wavelets in a generalized box counting method. ...
The beauty of Haar wavelets is that the convolution in a wavelet transform following Eq. (1.26b) reduces to simple nth-order differences of parts from the signal for a given scale s. ...
doi:10.25673/192
fatcat:xjevmrnzdzet7cf32456qjmmdq
Special Issue: Soft Computing in Multimedia Processing
2005
unpublished
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The experiments results demonstrate that this similarity search approach with ANN proves suitable one-to many matching of fingerprints on large databases. ...
In this paper, we propose a methodology based on genetic programming to automatically generate data-flow based specifications for hardware designs of combinational digital circuits. ...
Zeleznikar and professor Matjaz
Acknowledgement The work was supported by the fund of the Hungarian Academy of Sciences for control research and partly by the OTKA fund T042741. ...
fatcat:6wnd2qr5zzesdeaqx2k7i4o4da
Bayesian Learning and Regularization for Unsupervised Image Restoration and Segmentation
[article]
2007
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Based on these functionals, a data-driven variational image restoration functional in a Bayesian learning framework has been designed and implemented in the BV space. ...
time of process. ...
On the graph curve of a function, its local minima will look like the bottoms of valleys. ...
doi:10.14279/depositonce-1656
fatcat:chdxibshuvcubplno43hwpd46a
Proceedings of the Seminar Innovative Internet Technologies and Mobile Communications (IITM), Summer Semester 2023
2023
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Comparing the goodput of MsQuic with other QUIC implementations, we found that MsQuic outperforms them all, with the largest difference of goodput on older hardware. ...
Also, we evaluate MsQuic regarding performance on different hardware architectures. ...
The captured CSI measurements are then processed by applying noise reduction, transformations (e.g., FFT, discrete wavelet transform) and filtering techniques to eliminate outliers and increase performance ...
doi:10.2313/net-2023-11-1
fatcat:3uqp3vebx5a3lh5fytdne5ncfm