Soft Competitive Principal Component Analysis Using The Mixture of Experts
نویسندگان
چکیده
A new algorithm is proposed that performs competitive principal component analysis (PCA) of an image. A set of expert PCA networks compete, through the Mixture of Experts (MOE) formalism, on the basis of their ability to reconstruct the original image. The result is that the network finds an optimal projection of the image onto a reduced dimensional space as a function of the input and, hence, of image content. As a by-product, the image is segmented and identified according to stationary regions.
منابع مشابه
Competitive Principal Component Analysis For Locally Stationary Time Series - Signal Processing, IEEE Transactions on
A new unsupervised algorithm is proposed that performs competitive principal component analysis (PCA) of a time series. A set of expert PCA networks compete, through the mixture of experts (MOE) formalism, on the basis of their ability to reconstruct the original signal. The resulting network finds an optimal projection of the input onto a reduced dimensional space as a function of the input an...
متن کاملPrioritizing Effective Factors in the Making Ethical Organizations by Using Combined Method of Interpretative Structural Modeling (ISM) and Principal Component Analysis (PCA)
Nowadays Organizations consider ethical principles in the business environment as an advantage and seek to strengthen it. This requires a coherent, interactive and cognitive understanding of the parts of internal and external environment of organization, which leads to the realization of the rights of the beneficiaries of the organization. The purpose of this paper is prioritize the factors in...
متن کاملCompetitive principal component analysis for locally stationary time series
Abstract–A new unsupervised algorithm is proposed that performs competitive principal component analysis (PCA) of a time series. A set of expert PCA networks compete, through the Mixture of Experts (MOE) formalism, on the basis of their ability to reconstruct the original signal. The resulting network finds an optimal projection of the input onto a reduced dimensional space as a function of the...
متن کاملFuzzy regression model of R&D project evaluation
Engineering and technology play an important role in strengthening the competitive power of a company and in surviving a severe competition in the world. About 70% of the total R&D investment in Japan comes from the private sector. It is the most important to decide which research projects have to be adopted for a future research out of proposals from divisions and sections in a company. The ob...
متن کاملEvaluating Dye Concentration in Bicomponent Solution by PCA-MPR and PCA-ANN Techniques
This paper studies the application of principal component analysis, multiple polynomial regression, and artificial neural network ANN techniques to the quantitative analysis of binary mixture of dye solution. The binary mixtures of three textile dyes including blue, red and yellow colors were analyzed by PCA-Multiple polynomial Regression and PCA-Artificial Neural network PCA-ANN methods. The o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1998