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The term structure models of interest rate have been extensively applied to asset pricing, design of financial instruments, hedging, arbitraging and investment decision. Therefore, the estimation of parameters in the term structure model has been a key problem. In this paper, the parameters of term structure model is estimated by using two different kernel functions: Gauss kernel function and Epanechnikov...
Recent studies in patch-based Gaussian Mixture Model (GMM) approaches for face age estimation present promising results. We propose using a hidden Markov model (HMM) supervector to represent face image patches, to improve from the previous GMM supervector approach by capturing the spatial structure of human faces and loosening the assumption of identical face patch distribution within a face image...
In this paper, we present a patch-based regression framework for addressing the human age and head pose estimation problems. Firstly, each image is encoded as an ensemble of orderless coordinate patches, the global distribution of which is described by Gaussian mixture models (GMM), and then each image is further expressed as a specific distribution model by Maximum a Posteriori adaptation from the...
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