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Partitional Clustering Techniques for Multi-Spectral Image Segmentation

Danielle Nuzillard, Cosmin Lazar
2007 Journal of Computers  
To achieve a complete and more reliable representation of the data, a magnitude-shape representation is described, it takes into account both the magnitude and shape similarities between pixels vectors  ...  The bases of PCA and magnitude-shape representation are explored to highlight the main differences and the advantages of our method over PCA.  ...  In our magnitude -shape representation, both magnitude and orientation information are used independently to describe the data.  ... 
doi:10.4304/jcp.2.10.1-8 fatcat:sqzfgslb5jda3kk4l6ptyen25u

Simplified simulation of fretting wear using the method of dimensionality reduction

Q. Li, A. E. Filippov, A. V. Dimaki, Y. S. Chai, V. L. Popov
2014 Physical Mesomechanics  
In a recent paper, Dimaki with colleagues proposed a numerically exact simulation procedure based on the method of dimensionality reduction (MDR).  ...  In the present paper, we utilize these results to formulate an approximate model, in which the wear is simulated directly in the onedimensional space without using integral transformations.  ...  Ciavarella, and M. Popov. This work was partially supported by Deutsche Forschungsgemeinschaft (DFG) and Deutscher Akademischer Austausch Dienst (DAAD). Q.  ... 
doi:10.1134/s1029959914030102 fatcat:26knf5bhd5gcvhbujvq72c7cue

Random Error Reduction Method for One-shot Shape Measurement using the Grating Projection Method

Takashi IWASA, Hiroyuki TANAKA, Motoharu FUJIGAKI
2015 Transactions of the Japan Society for Aeronautical and Space Sciences  
On the basis of this result, a Wiener filter is applied as a random error reduction method for the one-shot surface shape measurement using the grating projection method.  ...  Its effectiveness is discussed by conducting the shape measurement of the white plate model and the polyimide film.  ...  The x and y axes represent the spatial frequency, and the contour color is the non-dimensional magnitude normalized by the maximum.  ... 
doi:10.2322/tjsass.58.337 fatcat:6st3zbnpjjgzplmxxc3aaootcu

Theoretical Study of Fretting Wear Rate Evolution in Axi-Symmetrical Elastic Contact Using the Method of Dimensionality Reduction

Andrey V. Dimaki
2020 Frontiers in Mechanical Engineering  
We simulated wear in elastic tangential contact in partial-slip mode using the method of dimensionality reduction.  ...  The present results demonstrate the possibility of application of the method of dimensionality reduction to the theoretical study of fretting wear rate evolution.  ...  Valentin Popov and Ivan Argatov for fruitful discussions. The work was performed according to the Government research assignments for ISPMS SB RAS, Project No. III.23.1.4.  ... 
doi:10.3389/fmech.2020.566703 fatcat:5d735iclhreu3mivkh7mzsnxjq

Dimensionality Reduction on Multi-Dimensional Transfer Functions for Multi-Channel Volume Data Sets

Han Suk Kim, Jürgen P. Schulze, Angela C. Cone, Gina E. Sosinsky, Maryann E. Martone
2010 Information Visualization  
In this article, we use Isomap and Locally Linear Embedding as well as a traditional algorithm, Principle Component Analysis.  ...  Applying recently developed nonlinear dimensionality reduction algorithms reduce the high-dimensional data of the domain.  ...  Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. This publication is based, in part, on work supported Kim  ... 
doi:10.1057/ivs.2010.6 pmid:21841914 pmcid:PMC3153355 fatcat:y4vpulpo6jcwvbptlerasuih7q

Duration and Magnitude of Myofascial Release in 3-Dimensional Bioengineered Tendons: Effects on Wound Healing

Thanh Cao, Michael Hicks, Manal Zein-Hammoud, Paul Standley
2015 The Journal of the American Osteopathic Association  
Repeated measures of BET width and the wound's area, shape, and major and minor axes were quantified using microscopy over a 48-hour period.  ...  Conclusion: Wound healing is highly dependent on the duration and magnitude of MFR strain, with a lower magnitude and longer duration leading to the most improvement.  ...  Author Contributions Mr Cao and Drs Hicks and Standley provided substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; all authors drafted the  ... 
doi:10.7556/jaoa.2015.018 pmid:25637613 fatcat:d2ocpuqhvbhy7ozbmksudtelb4

Trend based Approach for Time Series Representation

Sagar S.Badhiye, Kalyani S. Hatwar, P. N. Chatur
2015 International Journal of Computer Applications  
SPTA represents time series in trends form and obtained its values. Sign of value indicate changing direction and magnitude indicates degree of local trend.  ...  Symbolic Piecewise Trend Approximation is proposed to improve efficiency of time series data mining in high dimensional large databases.  ...  In this representation method, a rate of m/n is used, where m is the length of a time series P and n is the dimension after dimensionality reduction.  ... 
doi:10.5120/19909-1991 fatcat:tsdiicbdzfechigqmkhfz6xdpe

Combining SAX and Piecewise Linear Approximation to Improve Similarity Search on Financial Time Series

Nguyen Quoc Viet Hung, Duong Tuan Anh
2007 2007 International Symposium on Information Technology Convergence (ISITC 2007)  
In this work, we propose a new approach to improve the quality of similarity search on time series data by combining Symbolic Aggregate Approximation (SAX) and Piecewise Linear Approximation.  ...  The approach consists of three steps: transforming real valued time series sequences to symbolic strings via SAX, pattern matching on the symbolic strings and a post-processing via Piecewise Linear Approximation  ...  In the discretization step via SAX, we use 8 symbols for encoding, dimensional reduction ratio in PAA n/w =8.  ... 
doi:10.1109/isitc.2007.24 fatcat:amsqhgybrze2vecb4uht6hwkzm

Radial basis function approximations: comparison and applications

Zuzana Majdisova, Vaclav Skala
2017 Applied Mathematical Modelling  
The Radial Basis Function (RBF) approximation is appropriate for large scattered (unordered) datasets in d-dimensional space.  ...  The proposed RBF approximation offers lower memory requirements and better quality of approximation.  ...  and suggestions they provided.  ... 
doi:10.1016/j.apm.2017.07.033 fatcat:wvqb473jo5a5vnu67rxqlskfmi

A Radial Basis Function Approximation for Large Datasets [article]

Zuzana Majdisova, Vaclav Skala
2018 arXiv   pre-print
The proposed approach uses symmetry of matrix and partitioning matrix into blocks.  ...  Approximation of scattered data is often a task in many engineering problems. The Radial Basis Function (RBF) approximation is appropriate for large scattered datasets in d-dimensional space.  ...  and suggestions they provided.  ... 
arXiv:1806.04243v1 fatcat:hiugwo4oafcdrhfelxeqrrnm4q

CHARACTERISATION OF MULTIPHASE FLUID-STRUCTURE INTERACTION USING NON-INTRUSIVE OPTICAL TECHNIQUES

M. AL-ATABI, D. ADEBAYO, N. LAD, A. AROUSSI
2011 Journal of Engineering Science and Technology  
Using this data alongside velocity profiles time averaged trends were compared. Drag reduction from V-shaped grooves provides the greatest disturbance reduction.  ...  The data was obtained using Particle Image Velocimetry (PIV) and determines the fluid motion resulting from spray structure interaction of a liquid spray with a circular cylinder.  ...  Reynolds number in this study is approximately 3500 and is calculated using air velocity at the nozzle orifice (0.8 mm).  ... 
doaj:4720e29a214043e2b0bf04473f9689e3 fatcat:lsexnowegjbtvkm4op32k2aste

A semianalytic meshless approach to the transient Fokker–Planck equation

Mrinal Kumar, Suman Chakravorty, John L. Junkins
2010 Probabilistic Engineering Mechanics  
The identification and elimination of these modes leads to an analytical solution of the ODEs obtained from the spatial discretization in terms of the remaining admissible modes, and a significant order-reduction  ...  The initial equationerror resulting from the set of admissible modes is shown to be an upper bound for all time, and thus the reduced set is sufficient for the approximation for all time.  ...  can be used to exploit the capability of using special (non-polynomial) functions as shape functions in the PUFEM approximation space.  ... 
doi:10.1016/j.probengmech.2010.01.006 fatcat:rnbegzvfzrchzj2nbujevyo4l4

A New Radial Basis Function Approximation with Reproduction [article]

Zuzana Majdisova, Vaclav Skala
2018 arXiv   pre-print
In this paper a new RBF approximation method is derived and presented. The presented approach is applicable for d dimensional cases in general.  ...  The Radial Basis Function (RBF) approximation is appropriate for large scattered (unordered) datasets in d-dimensional space.  ...  and suggestions they provided.  ... 
arXiv:1804.06662v1 fatcat:2rf5dzqzn5davofr26mlousmsa

Phased array element shapes for suppressing grating lobes

F. Joseph Pompei, Shi-Chang Wooh
2002 Journal of the Acoustical Society of America  
An alternative is presented which uses oversized array elements to eliminate grating lobes as a direct consequence of the element shape.  ...  It is shown that by using carefully shaped, overlapping elements, maximum scan angle can be exchanged for a reduced interelement spacing requirement.  ...  for the one-dimensional array, but using a twodimensional Fourier transform.  ... 
doi:10.1121/1.1460924 pmid:12051424 fatcat:niekc53qbbbtbabixuzvpdhlse

Dimension Reduction using Orthogonal Local Preserving Projection in Big data

Ummadi Sathish Kumar, E. Srinivasa Reddy
2019 International Journal of Intelligent Systems and Applications  
In this paper, an efficient dimensionality reduction model and pedestrian data classification approach has been proposed.  ...  The proposed model used the Penn-Fudan Database and compare to the existing research the proposed model improved approximately 6% of pedestrian data classification accuracy.  ...  Here, the dimensionality reduction includes two processes: feature extraction and feature reduction. shape and edges.  ... 
doi:10.5815/ijisa.2019.06.06 fatcat:7d6lbgxlp5eotnqi5mv7yz6upe
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