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Probabilistic partial knowledge handling
2008
International Journal of Approximate Reasoning
We have chosen these two approaches because they represent the same class of distributions and because they are typical representatives of the approaches using conditional (for Bayesian networks) and unconditional ...
(for compositional models) distributions as basic building blocks for model construction. ...
Acknowledgement This work was partially supported by AV Č R under Grant A2075302 and MŠ MT under Grants 1M0572 and 2C06019. ...
doi:10.1016/j.ijar.2007.05.014
fatcat:b5754m25b5cbvegvif5ixzgsxe
Multidimensional systolic arrays for the implementation of discrete Fourier transforms
1999
IEEE Transactions on Signal Processing
Extensions of the multidimensional systolic array suitable for fast Fourier transform (FFT) computations such as the prime-factor computation or the 2 n n npoint decomposed computation of the one-dimensional ...
This paper presents an efficient technique for using a multidimensional systolic array to perform the multidimensional discrete Fourier transform (DFT). ...
ACKNOWLEDGMENT The authors gratefully acknowledge the assistance of the referees of this paper. They identified issues that guided our revision, which improved the paper. ...
doi:10.1109/78.757223
fatcat:7l7rspt3hret3prhxemjmyva4y
A Counting Approach for Measuring Multidimensional Deprivation
2011
Social Science Research Network
ABSTRACT A Counting Approach for Measuring Multidimensional Deprivation This paper is concerned with the problem of ranking and quantifying the extent of deprivation exhibited by multidimensional distributions ...
which prove to admit decomposition into the mean and the dispersion of the distribution of multiple deprivations. ...
In this paper we focus on multidimensional poverty measurement in situations where the multiple attributes in which an individual can be deprived are represented by dichotomized variables. ...
doi:10.2139/ssrn.1866250
fatcat:5mgk32irobhz3hzgn4wudo3xvy
Book Review: Decomposition of random variables and tectors
1978
Bulletin of the American Mathematical Society
In the Foreword to his book of 1960, Linnik described decomposition of (probability) laws as "a field which in relation to mathematics employed lies between the theory of probability and the theory of ...
The inverse problem of decomposition of random variables, more precisely of their laws, was born-with its concepts, problems, and methods-during its heroic period 1934-1938 thanks to P. ...
The law £ of a random variable X is described by its distribution or by its distribution function F or by its characteristic function/, all with same affixes if any. ...
doi:10.1090/s0002-9904-1978-14507-8
fatcat:hsyb5j3akjfkdexk7l54lbp2um
Page 2785 of Mathematical Reviews Vol. , Issue 2003d
[page]
2003
Mathematical Reviews
Sempi (I-LECCE; Lecce)
2003d:60033 60E05 62E10 68T37
JirouSek, Radim (CZ-AOS-ISI; Prague)
Decomposition of multidimensional distributions represented by perfect sequences. ...
Here, we describe a process by which a multidimensional distribution can be composed from a “generating sequence’—a se- quence of low-dimensional distributions. ...
Well-Being Inequality and Preference Heterogeneity
2016
Social Science Research Network
In this paper, we measure the inequality of the distribution of equivalent incomes, which is a preference-sensitive multidimensional well-being measure. ...
To quantify the contribution of preference heterogeneity to well-being inequality, we use a decomposition method that calculates well-being inequality in different counterfactual distributions. ...
In the preferences-rst decomposition of eq. (9) it is reected by the term I(L, A) − I( L, A) and in the outcomes-rst decomposition of eq. (10) by I(L, A)−I( L, A). ...
doi:10.2139/ssrn.2795463
fatcat:yuwsmhis3vbt7jgpueswn2bhzi
Wellbeing Inequality and Preference Heterogeneity
2017
Economica
In this paper, we measure the inequality of the distribution of equivalent incomes, which is a preference-sensitive multidimensional well-being measure. ...
To quantify the contribution of preference heterogeneity to well-being inequality, we use a decomposition method that calculates well-being inequality in different counterfactual distributions. ...
In the preferences-rst decomposition of eq. (9) it is reected by the term I(L, A) − I( L, A) and in the outcomes-rst decomposition of eq. (10) by I(L, A)−I( L, A). ...
doi:10.1111/ecca.12231
fatcat:odhgftdglzbv5caq7ggae6wr4m
Characterization of photonic crystal microcavities with manufacture imperfections
2005
Optics Express
In this paper we present a detailed analysis of the influence of the manufacture errors in the resulting electric field distribution of a photonic crystal microcavity. ...
The results are studied by using the Principal Component Analysis method. ...
Acknowlegments This work has been partially supported by the project TIC2001-1259 of the Ministerio de Ciencia of Tecnología of Spain, and by the project GR/MAT/0497/2004 of the Comunidad of Madrid, Spain ...
doi:10.1364/opex.13.003802
pmid:19495287
fatcat:5irvy5v255g5nfm4s3uz5tepza
Measuring Multidimensional Inequality in the OECD Member Countries with a Distribution-Sensitive Better Life Index
2016
Social Indicators Research
The Better Life Index was introduced by the OECD as a tool to chart the multidimensional well-being of its member countries. ...
In addition, sizeable differences are found in the level and composition of multidimensional inequality. ...
In the first step, the design of a distribution-sensitive Better Life Index is discussed by assuming the availability of a 'perfect' data set. ...
doi:10.1007/s11205-016-1289-2
fatcat:gmg2ezxuwjdgxhd3xwjwi3owbm
Scalable Video Compression Framework With Adaptive Orientational Multiresolution Transform and Nonuniform Directional Filterbank Design
2011
IEEE transactions on circuits and systems for video technology (Print)
This paper proposes nonuniform directional frequency decompositions for video representation and approximation, and exploits the nonuniformity of orientation multiresolution distribution and designs nonuniform ...
It could produce higher compression ratio on video sequences full of directional edges and textures. ...
All schemes provide 3 scales of decomposition for CIF sequences and 4 scales for 4CIF sequences. ...
doi:10.1109/tcsvt.2011.2133310
fatcat:ftauvsm2bbaltibsnrthhrdwzu
Multidimensional Scaling With Very Large Datasets
2018
Journal of Computational And Graphical Statistics
Acknowledgments I am grateful to an anonymous reviewer for helpful comments on a previous version of this paper. ...
By constrast, the random decomposition method performed poorly. ...
A search of the string "multidimensional scaling" in the
21 MDS is basically done through a decomposition of the symmetric distance matrix among observations. ...
doi:10.1080/10618600.2018.1470001
fatcat:nwfbqbvxkffrznaf2zapbw3pt4
Parameter simulation of multidimensional urban landscape design based on nonlinear theory
2022
Nonlinear Engineering
Combined with RGB feature decomposition method, the parameter vectorized feature extraction of multidimensional nonlinear landscape design was carried out, and the parameterized model of multidimensional ...
of multidimensional nonlinear landscape design and improving the effect of urban landscape design. ...
, X i,j is used to represent the edge pixel distribution set of landscape rationality distribution at the position of central pixel (i, j), distributed reconstruction method of visual features is used ...
doi:10.1515/nleng-2021-0049
doaj:28b33ab0297b42448f2c54ca9553625f
fatcat:rdwicbskdvfdlnkyk3mi57kikq
Automated Intruder Detection from Image Sequences using Minimum Volume Sets
2012
International Journal of Communication Networks and Information Security
The proposed algorithm is theoretically founded on the concept of Minimum Volume Sets. ...
Through application to image sequences from two different scenarios and comparison with existing algorithms, we show that it is possible for our proposed algorithm to easily obtain high detection accuracy ...
Acknowledgement This project was funded in part by the Research Management Centre, International Islamic University Malaysia under grant number EDW B11-167-0645. ...
dblp:journals/ijcnis/AhmedWAP12
fatcat:kii4bljrjbdrrkdgflyhq6e2qm
Performance and limitations of decomposition-based parameter extraction procedures for FET small-signal models
1998
IEEE transactions on microwave theory and techniques
A study of convergence performance based on decomposition theory and test results is presented. ...
A recently proposed optimizer-based parameterextraction technique using adaptive decomposition is subjected to a systematic and rigorous evaluation. ...
THE THEORY OF DECOMPOSITION-BASED PARAMETER EXTRACTION Decomposition is defined as a process by which a function that is to be optimized is broken up into several subfunctions. ...
doi:10.1109/22.734540
fatcat:vhu36kcbajabzpeoszoiep6ulq
Foundations of compositional models: structural properties
2014
International Journal of General Systems
In the last two sections of this paper, we show how the structural properties are manifested in the properties of the multidimensional probability distributions represented in the form of compositional ...
Here, these statements are encoded in a sequence of distributions to which an operator of composition -the key element of this theory -is applied in order to assemble a multidimensional model from its ...
Downloaded by [Vaclav Kratochvil] at 02:06 24 September 2014 International Journal of General Systems ...
doi:10.1080/03081079.2014.934370
fatcat:kif2vx73bnb7dnslkkoyhg2jfy
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