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This paper studies the composition of portrait paintings and develops an algorithm to improve the composition of portrait photographs. The study of portrait paintings shows that placement of the face and the figure in portrait paintings is pose-related. Based on this observation, this paper develops an algorithm to improve the composition of a portrait photograph by learning the placement of the face...
In this paper, we propose a multi-feature based sparse representation method named multi-feature Fisher Discrimination Dictionary Learning (MFDDL) and apply it to face recognition. In the new proposed method, firstly, to extract the texture information, multi-scales and multi-orientations Gabor Wavelet Transform is proposed for feature representation. Then the local characteristics of the face Gabor...
Queries against the large size XML database are often exploratory and users often find their queries return too many answers, this paper proposed a user preference-based top-k ranking approach to deal with this “information overload” problem. We first presented a user preference model which can embody both the partial relations and the interest degree of preferences. And then, the elements orders...
Providing vocational education is an effective way to help graduates to improve competitiveness. This paper comparatively analysis the characteristics of enterprise training from the teaching aspect as well as the learning aspect, which helps to understand the difference between enterprise training and academic education. Based on the analysis, suggestions are proposed for having enterprise training...
The clinical quality is influenced by the disseminating velocity of new medical knowledge and the rate of patients that receive evidence-based clinical service. In this study, we introduced an evaluation and alerting system for the compatibility between practice guidelines and medicine practices using Arden Syntax (ESCPP) based on EGADSS. We also introduced an approach to automatically create CDA...
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