نتایج جستجو برای: composite kernels

تعداد نتایج: 137874  

2003
James T. Kwok Brian Mak

Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the heart of the method is principal component analysis (PCA) employed to find the most important eigenvoices. In this paper, we postulate that nonlinear PCA, in particular kernel PCA, may be even more effective. One major challenge is to map the feature-space eigenvoices ba...

2017
Sujin Pyo Jaewook Lee Mincheol Cha Huisu Jang

The prediction of the trends of stocks and index prices is one of the important issues to market participants. Investors have set trading or fiscal strategies based on the trends, and considerable research in various academic fields has been studied to forecast financial markets. This study predicts the trends of the Korea Composite Stock Price Index 200 (KOSPI 200) prices using nonparametric m...

2008
Y. J. Liu

A new fast multipole formulation for the hypersingular BIE (HBIE) for 2D elasticity is presented in this paper based on a complex-variable representation of the kernels, similar to the formulation developed earlier for the conventional BIE (CBIE). A dual BIE formulation using a linear combination of the developed CBIE and HBIE is applied to analyze multi-domain problems with thin inclusions or ...

Journal: :J. Computational Applied Mathematics 2015
Angelamaria Cardone Zdzislaw Jackiewicz James H. Verner Bruno D. Welfert

We describe the derivation of order conditions, without restrictions on stage order, for general linear methods for ordinary differential equations. This derivation is based on the extension of Albrecht approach proposed in the context of Runge-Kutta and composite and linear cyclic methods. This approach was generalized by Jackiewicz and Tracogna to two-step Runge-Kutta methods, by Jackiewicz a...

2003
James T. Kwok Brian Kan-Wing Mak Simon Ka-Lung Ho

Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the heart of the method is principal component analysis (PCA) employed to find the most important eigenvoices. In this paper, we postulate that nonlinear PCA, in particular kernel PCA, may be even more effective. One major challenge is to map the feature-space eigenvoices ba...

Journal: :Numerische Mathematik 2016
Tilo Arens Thomas Rösch

We consider biperiodic weakly singular integral equations of the second kind such as they arise in boundary integral equation methods. These are solved numerically using a collocation scheme based on trigonometric polynomials. The singularity is removed by a local change to polar coordinates. The resulting operators have smooth kernels and are discretized using the tensor product composite trap...

Journal: :Journal of Econometrics 2011

Journal: :IEEE Transactions on Circuits and Systems 1983

Journal: :Constructive Approximation 2008

Journal: :Journal of Functional Analysis 2007

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید