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Asymptotic Analysis of Multidimensional Jittered Sampling
IEEE Transactions on Signal Processing, 2010We study a class of random matrices that appear in several communication and signal processing applications, and whose asymptotic eigenvalue distribution is closely related to the reconstruction error of an irregularly sampled bandlimited signal. We focus on the case where the random variables charac- terizing these matrices are d-dimensional vectors ...
Alessandro Nordio +2 more
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User-cognizant multidimensional analysis
The VLDB Journal, 2001Our goal is to enhance multidimensional database systems with a suite of advanced operators to automate data analysis tasks that are currently handled through manual exploration. In this paper, we present a key component of our system that characterizes the information content of a cell based on a user's prior familiarity with the cube and provides a ...
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Comparative Analysis of Multidimensional, Quantitative Data
IEEE Transactions on Visualization and Computer Graphics, 2010When analyzing multidimensional, quantitative data, the comparison of two or more groups of dimensions is a common task. Typical sources of such data are experiments in biology, physics or engineering, which are conducted in different configurations and use replicates to ensure statistically significant results.
Alexander Lex +4 more
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Multidimensional analysis of particles
Iran Journal of Computer Science, 2022S. Hamid Mehdipour +1 more
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Probabilistic Analysis of the Multidimensional Knapsack Problem
Mathematics of Operations Research, 1989We analyse the multi-constraint zero-one knapsack problem, under the assumption that all coefficients are drawn from a uniform [0, 1] distribution and there are m = 0(1) constraints as the number of variables grows. We show that results on the single-constraint problem can be extended to this situation. Chiefly, we generalise a result of Lueker on the
Martin E. Dyer, Alan M. Frieze
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Stability analysis of a class of multidimensional systems
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004This paper analyzes the stability of a class of discrete linear multidimensional (MD) systems, whose solutions are path dependent and may not be uniquely specified by initial conditions. Based on the concept of solvable Lie algebra and a new comparison principle, it presents a simple necessary and sufficient condition for exponential stability of the ...
Tianguang Chu +3 more
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Multidimensional independent component analysis
Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002This paper proposes to generalize the notion of independent component analysis (ICA) to the notion of multidimensional independent component analysis (MICA). We start from the ICA or blind source separation (BSS) model and show that it can be uniquely identified provided it is properly parameterized in terms of one-dimensional subspaces.
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Multidimensional Crime Dataset Analysis
2019Data analytics (DA) is defined as the process of scrutinizing different data sets to draw out the outcomes about the information they contain with the help of specialized functional systems and software. There are different areas where data analytics applications have been operated such as transportation, detection of fraud, city planning, health ...
Prerna Kapoor, Prem Kumar Singh
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Multidimensional Analysis of Trends in Patent Activity
Scientometrics, 2000Only multidimensional analyses can provide overviews of complex relationships among many variables. We have previously illustrated the use of Correspondence Factor Analysis (CFA) in the analysis of publication profiles. In this article, we retrace our activity in patent analysis from the late 1970s to the present day and show how CFA is a particularly ...
Doré, J.C., Dutheuil, C., Miquel, J.F.
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Multidimensional Data Analysis in Immunophenotyping
Current Protocols in Cytometry, 1997AbstractThe complexity of cell populations requires careful selection of reagents to detect cells of interest and distinguish them from other types. Additional reagents are frequently used to provide independent criteria for cell identification. Two or three monoclonal antibodies in combination with forward and right‐angle light scatter generate a data
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