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Although at present a lot of big data use the ways of column store, traditional row store is still the mainstream storage way of relational database management system. There is no universal transformation tool facing of the requirements which column stored be transform into row store in heterogeneous database integration systems. The transpose mapping table of column store to row store, data extraction...
Video summarization is an efficient and flexible way to represent video data. In this paper, we use the kernel PCA and clustering based key frame extraction to realize multilevel video representation. In order to remove the redundancy caused by large scene changes, SIFT flow scene alignment is performed on the clustering set of key frames. After alignment, one representative frame is chosen from the...
Process Neural Network (PNN) has an important significance in solving industry modeling problems which are related to time, but long time is cost on high dimension inputs nonlinear modeling problems. A new Improved Process Neural Networks based on KPCA and Walsh (IPNN-KPW) are proposed in this paper. KPCA method and discrete Walsh transform are used to reduce process neural network's time cost. Momentum...
In this note, the novel representation is proposed for a linear periodic continuous-time system with T-periodic real-valued coefficients. We prove that a T-periodic real-valued factor and two real-valued matrix exponential functions can be extracted from a state transition matrix, while, in the well-known Floquet representation theorem, a 2T-periodic real-valued factor and a real-valued matrix exponential...
Based on research of principal component analysis, the principal component analysis is introduced to medical image fusion. The K-L transform is used to multi-mode images. Then a new matrix is composed. A eigenvector which accounts for above 90 percent in contribution of variance about the new matrix is adopted to obtain principal components. Using principal components can carry on image fusion. The...
In order to extract the medial axes of vascular objects from 3D medical volume data, a precise centerline extraction algorithm is proposed. A binary image sequence which has been segmented is taken as the input data. Distance transform is performed for the data to generate a distance map. Based on the distance map and for each target-voxel which belongs to the cavity of vascular structure, a Hessian...
For multitarget tracking problems, occlusions between targets are quite tough tasks. We present a novel algorithm to solve such problems. For the two targets in occlusions, Fukunaga-Koontz transform is exploited to achieve the projection matrix, with which the two targets are projected into a low dimensional space where they are quite distinguishing. To solve the problem of the change of target appearance,...
This paper develops a supervised discriminant technique, called margin maximum embedding discriminant (MMED), for dimensionality reduction of high-dimensional data. In graph embedding, our objective is to find a linear transform matrix to make the samples in the same class as compact as possible and the samples belong to the different classes as dispersed as possible. The proposed method effectively...
A new convergence calculation method of the normal distributions transform (NDT) scan matching for high resolution of grid maps is proposed. NDT scan matching algorithm usually has a good effect on large grids, so it is difficult to generate the detailed map with small grids. The proposed method employs interactive closest point (ICP) algorithm to find corresponding point, and it also enlarges the...
Very often, huge uncertain information exists in multi-dimension multi-stage fuzzy optimum dynamic programming. Failure to take into consideration of this uncertain information will often lead to inaccurate results. The paper proposes a multi-dimension multi-stage fuzzy optimum dynamic programming method under circumstances of uncertain information.
Gene expression data analysis is very important for the research on gene regulatory mechanisms. Genes which exhibit similar patterns are often functionally related. In this paper a novel bicluster detection method is proposed. Its advantage lies in it can not only make use of the traditional data clustering methods, but also form a systemic architecture. The whole processing procedure can be divided...
To solve the problems of bolt tightness degree detection in large structures, this paper studies the bolt tightness degree detection method in aluminum plate structure, by using piezoelectric sensor array to stimulate Lamb wave and HHT method to pick-up damage diagnostic parameter. The theory of HHT method is introduced, as well as the constitutions of the experimental system. Deal the echo signal...
This paper presents that the consistency test with consideration of a tolerance deviation in fuzzy AHP proposed by L. C. Leung and D. Cao (2000) is not efficient and has some errors, hence a new method of fuzzy consistency test by direct fuzzification of (quick response) QR algorithm - which is one of numerical methods for calculating eigenvalues of an arbitrary matrix - has been proposed.
In the Chinese character intelligent formation, the same basic element has different position, size and shape in different Chinese characters. The transformation from the basic element to the Chinese character can be realized by affine transformation, and a novel approach was proposed to acquire the transformation coefficients of basic elements. The interested region was determined based on the structure...
Much of the boundary control of wave equations in 1D is based on a single principle-passivity-under the assumption that control is applied through Neumann actuation on one boundary and the other boundary satisfies a homogeneous Dirichlet boundary condition.We have recently expanded the scope of tractable problems by allowing destabilizing anti-stiffness (a Robin type condition) on the uncontrolled...
Based on discrete Hermite-Gaussian-like functions, a discrete fractional Fourier transform (DFRFT), which provides sample approximations of the continuous fractional Fourier transform, was defined and investigated recently. In this paper, we propose a novel nearly tridiagonal matrix, which commutes with the generalized discrete Fourier transform (GDFT) matrix. It doesn't has repeated eigenvalue. We...
A new dimensionality reduction method, neighborhood preserving embedding (NPE) is recently proposed which offers a linear yet powerful method to preserve the local neighborhood structure on the data manifold. However, it is confined to linear transforms in the data space. For this, kernel NPE (KNPE) is presented, which preserves the local neighborhood structure in the higher-dimension feature space...
The recently proposed 2D-CCA is an important method for high dimensional data representation. The mathematical model of 2D-CCA based on pseudoinverse technique is investigated. The computational formulae for 2D-CCA based on pseudoinverse have been derived theoretically. The results of experiments show that the proposed method is effective for the computation of 2D-CCA.
This paper provides a novel method to obtain the eigenvectors of discrete Fourier transform (DFT), which are accurate approximations to the continuous Hermite-Gaussian functions (HGFs). The proposed method uses a generating matrix and an initial eigenvector. By multiplying the initial eigenvector with the generating matrix, we can derive a new eigenvector. Repeating this procedure we can acquire all...
An automated identification technique was developed for the detection of ischemic episodes in long term electrocardiographic (ECG) signals using mathematical expansions involving the discrete dilated Hermite Transform. The discrete Hermite functions are generated as eigenvectors of a symmetric tridiagonal matrix that commutes with the centered Fourier matrix. The Hermite transform values are computed...
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