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
Turbulent Patch Identification in Microstructure Profiles: A Method Based on Wavelet Denoising and Thorpe Displacement Analysis
2002
Journal of Atmospheric and Oceanic Technology
Preserved Fulltext
The second algorithm is based on a semiquantitative analysis of the Thorpe displacements. ...
A new method based on wavelet denoising and the analysis of Thorpe displacements d T profiles is presented for turbulent patch identification. ...
Wüest for critical comments on an early draft, and Dan E. Kelley and Peter S. Galbraith for providing some routines for validating the identified patches. ...
doi:10.1175/1520-0426(2002)019<1390:tpiimp>2.0.co;2
fatcat:wy3xuuymezg2hgcwebw3iiimpa
Determination of Bus Crowding Coefficient Based on Passenger Flow Forecasting
2019
Journal of Advanced Transportation
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 paper first selected the performance measurements for determining bus crowd coefficient and calculated the digital characteristics of the cloud model based on the boundary values of the selected performance ...
measures under six Levels-of-Service (LOSs). ...
Acknowledgments This study is supported by the Liaoning Provincial Department of Education Research Projects (JDL2017034). ...
doi:10.1155/2019/2751916
fatcat:hshrkyigjrg5zcsiplirjglhxi
Individual Tree Crown Segmentation in Two-Layered Dense Mixed Forests from UAV LiDAR Data
2020
Drones
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 text/html.
To maximize the level of detection rate, the ITC algorithm parameters were tuned varying 1350 setting combinations and matching the segmented trees with field measured trees. ...
For each setting, the delineation accuracy was assessed by computing the detection rate, the omission and commission errors over three forest plots. ...
They obtained a determination coefficient between the number of trees delineated from the LiDAR data and field-based tree density equal to 0.77 and a determination coefficient for tree height within dense ...
doi:10.3390/drones4020010
doaj:61999b7495e24d2c9e3faff504146ce9
fatcat:t452ueqetvgrnkxefbr7qvdzbm
Aorta segmentation with a 3D level set approach and quantification of aortic calcifications in non-contrast chest CT
2012
2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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.
We propose an aorta segmentation algorithm consisting of an initial boundary detection step followed by 3D level set segmentation for refinement. ...
The true positive detection rate of calcification algorithm was 0.96 over all CT scans. ...
Acknowledgments We thank to all the COPDGene Investigators for the data used in the paper. We also thank Nina Muralidhar for manual segmentations of aorta and aortic calcifications. ...
doi:10.1109/embc.2012.6346433
pmid:23366394
pmcid:PMC3671590
fatcat:s7pbkei23fg43kv24rr4qxpqqa
Simulation and performance analysis for coefficient estimation for sinusodial signal using LMS, RLS and proposed method
2017
International Journal of Engineering & Technology
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 estimated Power Spectral Density (PSD) gives the information regarding the architectural structure of random process; it can be utilized for mathematical modeling, removal of noise, prediction of the ...
The objective of spectral density estimation is to approximation the spectral density of a random signal from a series of time sample of the signal. ...
So, to get better the performance of RLS algorithm, the adaptive capon and amplitude and phase estimation based spectral analysis methods are used. ...
doi:10.14419/ijet.v7i1.2.8960
fatcat:aws74e3jrrcengwreqg4tkbmjq
Sound event detection in remote health care - small learning datasets and over constrained Gaussian Mixture Models
2010
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
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 2017; you can also visit the original URL.
The file type is application/pdf.
Sound event detection in remote health care -Small learning datasets and over constrained Gaussian Mixture Models. EMBC ...
The authors gratefully acknowledge the financial support of the Brazilian Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), as well as the contribution of the European Community's Seventh ...
For MFCC based analysis, each 500-dimensional vector is mapped into a 24-dimensional space, each dimension corresponding to one Mel-Cepstral Coefficient.
IV. ...
doi:10.1109/iembs.2010.5627149
pmid:21096562
fatcat:xqgpzy5enfbp7gzu72dexo77eq
FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data
2014
Scientific Reports
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 2017; you can also visit the original URL.
The file type is application/pdf.
0 if c[m] = 0 only for m ∈ Ω, +∞ otherwise. and Ω 1 is the support of the coefficients c[m] returned by the first stage of the algorithm. ...
Figure 4 4 Performance analysis for synthetic "ring" phantoms with various imaging densities. ...
doi:10.1038/srep04577
pmid:24694686
pmcid:PMC3974135
fatcat:jfhemjlacjf7biykg4wrcggeja
A multiresolution image restoration method for photon imaging systems
1999
1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258)
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.
The latter are replaced by coefficients obtained by the introduction of a multiresolution regularity constraint. ...
Nuclear medicine imaging systems rely on photon detection as the basis of image formation. One of the major sources of error in these imaging systems is Poisson noise. ...
This is performed in the wavelet domain because the wavelet transform provides a method for local analysis which has the extra advantage of yielding coefficients equal to zero for a locally constant signal ...
doi:10.1109/icassp.1999.757572
dblp:conf/icassp/JammalB99
fatcat:4h6m7xitzfacnacpjd5zmsxsne
Research on Uncertainty of audio and Video Information Hiding Based on Semantic and Statistical Moment
2011
Journal of Software
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.
In this paper we present two statistical analysis algorithms for SS hiding. ...
We use GMM to model the probability distribution of wavelet coefficient and calculate the absolute moment of statistical distribution as feature vector of each sub-band for statistical analysis. ...
Fraid H [14] proposed detection algorithm based on higher-order statistics of wavelet coefficients and support vector machine. ...
doi:10.4304/jsw.6.6.1154-1162
fatcat:wj7vi5seazcllppmaex2wdxr7m
Spatio-temporal interaction model for crowd video analysis
[article]
2017
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 2019; you can also visit the original URL.
The file type is application/pdf.
Furthermore, we also propose an effective group detection algorithm that utilizes the eigenvectors of the interaction matrix of the model. ...
We present an unsupervised approach to analyze crowd at various levels of granularity - individual, group and collective. ...
Therefore, group level analysis and hence group detection becomes important in crowd analysis. ...
arXiv:1710.11354v1
fatcat:mtajxo62avbtrkyoe6vidf5zmm
A self-adaptive distance regularized level set evolution method for optical disk segmentation
2014
Bio-medical materials and engineering
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.
In this study, we proposed a self-adaptive distance regularized level set evolution method for OD segmentation without the periodically re-initializing steps in the level set function execution to a signed ...
Therefore, we believe that such automatic OD segmentation method could assist the ophthalmologist to segment OD more efficiently, which is of significance for future computer-aided early detection of glaucoma ...
Acknowledgment This work was supported by the grant of National Natural Science Foundation of China (No. 81271668). ...
doi:10.3233/bme-141141
pmid:25227028
fatcat:2m5jnc4dxje2xn3v62uz7rpsou
Statistical Inversion Using Sparsity and Total Variation Prior And Monte Carlo Sampling Method For Diffuse Optical Tomography
[article]
2020
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 2020; you can also visit the original URL.
The file type is application/pdf.
A special kind of adaptive Metropolis algorithm for the reconstruction procedure using sparsity and total variation prior is presented. ...
density measurements. ...
• We present many numerical experiments to evaluate the performance of the statistical inverse problem and compare it with the IRGN method as baseline. ...
arXiv:2002.08038v1
fatcat:ldzizj3zjrcrnjkjbdal5oplw4
On-line test for fault-secure fault identification
2000
IEEE Transactions on Very Large Scale Integration (vlsi) Systems
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 2006; you can also visit the original URL.
The file type is application/pdf.
CONCLUSION Based on the radix-4 Booth algorithm, this work has successfully developed an FIR architecture with programmable dynamic ranges of input data and filter coefficients. ...
The throughput rate is 50 MHz for 8-bit input data and 25 MHz for 16-bit input data. There are 241 742 transistors in the design, and the circuit density is around 164 m 2 per transistor. ...
ACKNOWLEDGMENT The authors would like to thank the reviewers for their valuable comments and suggestions. The ...
doi:10.1109/92.863626
fatcat:rhh4t4llzjcsriwmc2opohnic4
Weight Estimation of the Sea Cucumber (Stichopus japonicas) using Vision-based Volume Measurement
2014
Journal of Electrical Engineering and Technology
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 2017; you can also visit the original URL.
The file type is application/pdf.
Evaluation of the performance of this algorithm using cross-validation showed that the root mean square error and worst-case prediction error were 1.434 g and ±5.879 g, respectively. ...
Growth analysis and selection of sea cucumbers (Stichopus japonicas) is typically performed through length or weight measurements. ...
Acknowledgements This work was supported by a grant (RP-2014-FE-013) from the National Fisheries Research and Development Institute (NFRDI), Republic of Korea. ...
doi:10.5370/jeet.2014.9.6.2154
fatcat:bgz2h2zoxjfljcxkj2vmdyerae
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
[article]
2022
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 2022; you can also visit the original URL.
The file type is application/pdf.
A novel algorithm is proposed based on the theoretical results to alleviate the influence of low-quality data at both the sample level and the domain level. ...
In this paper, we theoretically reveal the relationship between training data quality and algorithm performance and analyze the optimal regularization scheme for Lipschitz regularized invariant risk minimization ...
The work of Shao-Lun Huang was supported in part by the National Natural Science Foundation of China under Grant 61807021, in part by the Shenzhen Science and Technology Program under Grant KQTD20170810150821146 ...
arXiv:2206.05749v1
fatcat:xg7e37zsgrf73pqiqotn7l2pgq
« Previous
Showing results 1 — 15 out of 88,651 results