Our approach to image region approximation offers a complete scheme consisting from few steps. The original image is segmented using an unsupervised colour - texture regions segmentation method. Following polygonal ap...
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The main purpose of this work is to find an improved regularized covariance estimator of each class with the advantages of LOOC, and BLOOC, which are useful for high dimensional pattern recognition problems. The searc...
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The main purpose of this work is to find an improved regularized covariance estimator of each class with the advantages of LOOC, and BLOOC, which are useful for high dimensional pattern recognition problems. The searching ranges of LOOC and BLOOC are between the linear combinations of three pair covariance estimators. The first proposed covariance estimator (mixed-LOOC1) extended the searching range and is a general case of LOOC and BLOOC. By observing that the optimal value of leave-one-out likelihood function of LOOC usually occurs at near the end point of the parameter domain, the second covariance estimator (mixed-LOOC2), which needs less computation, was proposed. Using the proposed covariance estimator to improve the linear feature extraction methods when the multivariate data are singular or nearly so is demonstrated.
In this paper, a new nonparametric feature extraction method is proposed for high dimensional multiclass pattern recognition problems. It is based on a nonparametric extension of scatter matrices. There are at least t...
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In this paper, a new nonparametric feature extraction method is proposed for high dimensional multiclass pattern recognition problems. It is based on a nonparametric extension of scatter matrices. There are at least two advantages to using the proposed nonparametric scatter matrices. First, they are generally of full rank. This provides the ability to specify the number of extracted features desired and to reduce the effect of the singularity problem. This is in contrast to parametric discriminant analysis, which usually only can extract L-1 (number of classes minus one) features. In a real situation, this may not be enough. Second, the nonparametric nature of scatter matrices reduces the effects of outliers and works well even for non-normal data sets. The new method provides greater weight to samples near the expected decision boundary. This tends to provide for increased classification accuracy.
In this paper, an ultrawideband response for the ground bounce problem in electronic packaging is generated by using a simultaneous interpolation and extrapolation algorithm in the time and frequency domains. This is ...
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In this paper, an ultrawideband response for the ground bounce problem in electronic packaging is generated by using a simultaneous interpolation and extrapolation algorithm in the time and frequency domains. This is carried out by an associate Hermite (AH) expansion. Due to the isomorphism of the AH function and its Fourier transform, the time-domain signal and its corresponding frequency-domain signal can be expanded as two isomorphic associate Hermite expansions, that can be used for simultaneous interpolation and extrapolation in the time- and frequency-domains from the partial sampled data of the two waveforms in time and frequency domains. An example is presented to illustrate the efficacy of this new technique.
This paper describes the issues related to the design of a trusted electronic document management system (TEDMS). The computer security issues and background research that lead to the final design of a TEDMS applicati...
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This paper describes the issues related to the design of a trusted electronic document management system (TEDMS). The computer security issues and background research that lead to the final design of a TEDMS application are also discussed. The major component of an electronic document management system (EDMS) is the database in which the documents' metadata are kept. In a TEDMS, this database becomes a multilevel secure (MLS) database. The challenge of this design is to regroup MLS database design and trusted application design in one homogeneous application.
Formal real-time imagination is a term that may curiously describe the activities of a commonsense agent in a real-time setting in general, and in a tight deadline situation in particular. We briefly describe an ‘act...
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This article is concerned with the structure and stability properties of a combustion front that propagates in the axial direction along the surface of a cylindrical solid fuel element. The fuel consists of a mixture ...
The authors measure the amount of compression that can be accomplished by the use of Huffman coding, and the effects of adaption based on the statistics of the input file. The coding algorithm has been designed to gen...
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The authors measure the amount of compression that can be accomplished by the use of Huffman coding, and the effects of adaption based on the statistics of the input file. The coding algorithm has been designed to generate codes for character strings instead of for a single character. Each compressed file has a unique set of Huffman codes. The results of using adaptive Huffman coding algorithm has demonstrated that the larger the file the more useful the technique for compression. Also, the results show that the amount of memory that can be saved is up to 55.0% when text file is being used, and up to 40.9% when binary image file is being used.< >
A linear parabolic partial differential equation describing the pathwise filter for a nondegenerate diffusion is changed, by an exponential substitution, into the dynamic programming equation of an optimal stochastic ...
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A linear parabolic partial differential equation describing the pathwise filter for a nondegenerate diffusion is changed, by an exponential substitution, into the dynamic programming equation of an optimal stochastic control problem. This substitution is applied to obtain results about the rate of decay as |x| → ∞ of solutions p(x, t) to the pathwise filter equation, and for solutions of the corresponding Zakai equation.
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