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Dynamic Texture (DT) can be considered as an extension of the static texture additionally comprising the motion features. The DT is very wide but the weak studied type of textures that is employed in ...
We consider the problem of utilizing human power to categorize a large number of objects.In this problem, we are given an initial catego-ry hierarchy and a set of objects, and our goal is to find the ...
We describe NRC's submission to the Anomaly Detection/Text Mining competition organised at the Text Mining Workshop 2007. This submission relies on a straightforward implementation of the probabilisti...
Much work has been done on feature selection. Existing methods are based on document frequency, such as Chi-Square Statistic, Information Gain etc. However, these methods have two shortcomings: one is...
Previous metric learning approaches are only able to learn the metric based on single concatenated multivariate feature representation. However, for many real world problems with multiple feature repr...
this paper contains an overview of basic formulations and approaches to text classification. This paper surveys the algorithms used in text categorization: handcrafted rules, decision trees, decision ...
When trying to establish an efficient reward system for nurses, hospital managers should not concentrate on the financial reward possibilities alone. They also ought to consider non-financial and psyc...
In this paper, we propose a group-sensitive multiple kernel learning (GS-MKL) method to accommodate the intra-class diversity and the inter-class correlation for object categorization. By introducing...
Objective. To test the reliability, feasibility, and responsiveness of a categorization scheme for assessing pharmacy students' levels of reflection during internships. Methods. Pharmacy interns at U...
This paper deals with the meat industry in the Czech Republic, the equipment which is used for meat cutting and processing for sale and for production of smoked goods. It determines individual categor...

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