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In this article, we consider the parameter estimation problems in Quantile-GARCH model, a new GARCH type model proposed by Deng and Jiang (2004), which have been applied successfully in the empirical analysis in stock market, foreign exchange rate market and electricity market. In practice study, we found that only parameter estimation problem is effectively solved, the Quantile-GARCH model can be...
In the field of cranio-maxillofacial surgery, there is a huge demand from surgeons to be able to automatically predict the post-operative face appearance in terms of a pre-specified bone-remodeling plan. Collision detection is a promising means to achieve this simulation. In this paper, therefore, an efficient collision detection method based on a new 3D signed distance field algorithm is proposed...
This paper presents an improved biomechanical model for the prediction of the soft tissues in the plastic surgical simulator. The new model is built on nonlinear finite mixed-element method (NFM-EM) in which the internal soft tissues (muscles and fat) are discretized into tetrahedral solid elements and the skin tissues into triangular shell elements, which distinguishes between the internal soft tissues...
This paper presents a novel method for assisting surgeons in automatically computing an optimal surgical plan by directly specifying the desired correction to a facial outline. First, the desired facial appearance is prescribed using a 3D sculpturing tool, while the cut regions of the skull are defined based on facial anatomy. Then, the deformation of the face meshes is performed using an improved...
It is easy to understand that the strategy and the endowment will affect a trader's profit in a continuous double auction (CDA) market by qualitative analysis, but it is hard by quantitative analysis. This paper quantitatively analyzes the strategy effect, the endowment effect, and the interaction between them in computerized CDA markets with k-ZI agents.
This paper presents a novel method for identity recognition based on the 2D gait representation: Gait Energy Image (GEI) which is the averaged silhouette over one gait cycle. An ensemble of Gabor kernels is first convolved with GEI to extract discriminative feature. The obtained Gabor gait representation is then projected into lower dimensional subspace using discriminative common vectors (DCV) analysis...
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