Probabilistic subspace mixture models, as proposed over the last few years, are interesting methods for learning image manifolds, i.e. nonlinear subspaces of spaces in which images are represented as vectors by their greyvalues. However, for many practical applications, where outliers are common, these methods still lack robustness. Here, the idea of robust mixture modelling by t-distributions ...

by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of independent non-Gaussian densities. The algorithm estimates the data density in each class by using parametric nonlinear functions that fit to the non-Gaussian structure of the data. This improves classification accuracy compared with standard Gaussian mixture models. W...

As a problem of high practical appeal but outstanding challenges, computer-based face recognition remains a topic of extensive research attention. In this paper we are specifically interested in the task of identifying a person from multiple training and query images. Thus, a novel method is proposed which advances the state-of-the-art in setbased face recognition. Our method is based on a prev...

A classiåcation method for repeated observations is proposed. The method consists of two procedures. First, individual response proåles are åtted by the polynomial regression model. Next, the åtted regression coeécients are classiåed based on the normal mixture model. The procedures can be embedded in one model, i.e., the growth curve model with extended random eãects. It helps us to explore an...

The objective of this study was to evaluate the effects of different doses of pistachio by-product (PBP) extracts supplemented with alfalfa hay (AH) or barley grain (BG) on microbial fermentation in an in vitro fermentation system. The total extracted phenolic compounds were 36.96, 65.78, 67.02 and 8.85% and total extracted tannin contents were 37.11, 59.64, 56.87 and 7.55% when PBP was extract...

Knowledge of the solubility characteristics of an oiVrefrigerant mixture is important when analyzing the lubrication system behavior in refrigerant compressors since the solubility significantly affects the viscosity of the mixture. For an operating compressor, the lubricant is a mixture of oil and refrigerant and the viscosity of the mixture is a strong function of the refrigerant concentratio...