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The contribution describes the application of the Team 'Computational Intelligence Group' from the University of Applied Sciences Mittweida (Germany) to the ICMLA Face Recognition Challenge 2012. In particular we explain the data preprocessing and feature extraction, which was applied before classification learning. Further we give details about the used classification algorithm - the enhanced generalized...
In this paper, effective grading of arecanuts is proposed. The Arecanut RGB image is converted into YCBCR color space. Three sigma control limits on color features are determined for effective segmentation of arecanuts. Color features are used for the grading of arecants with the help of support vector machines (SVMs) into two grades i.e. Boiling and Non-boiling nuts effectively. Experimental k-fold...
Knowledge visualization is a method which is increasingly used widely for representing, conveying, and accessing knowledge with all kinds of visual elements in recently years. This paper sets forth the definitions of knowledge visualization and related at first, and then elaborates the three categories of knowledge visualization, finally analysis and compares various classification methods of knowledge.
Identifying the subject's simple judging states from fMRI data is the basis of studying complex logical relationship and has great theoretical significance. In this paper, we study judging states from fMRI data in terms of logical recognition classifications. We found that the ROI (Regions of Interest) regions played an important role in visual recognition task and identified what ROI regions were...
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