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In this paper, a new method to manage graduation photography is introduced. First, AdaBoost algorithm, which can achieve high detection accuracy, is adopted to detect faces in the graduation photography. After adjusting the position and adding the missed faces, the personal information of each photography is added into database. To get the current status of graduates, one can send emails to the member...
The paper addresses the feature selection based on Neighborhood Rough Set (NRS) used as evaluation function and Ant Colony Optimization (ACO) as generation procedure. A NRS-based measure is employed as heuristic information of ACO. For the weakness of setting a specified value to the size of neighborhood, a new standard deviation based value is advanced to be the size of neighborhood. Four datasets...
In this paper, we discuss a new feature selection criterion in boosting. Our method directly optimizes Bhattacharyya distance between the weighted positive and negative samples to find the feature vector instead of brute-force selection from a feature pool. Unlike some similar work including FisherBoost and MRCBoost, the new criterion connects the feature selection process with cost function minimization...
Through the analysis of the information on the contents of the document which contained in title, abstract and keywords, find out which documents are more relativity with user's retrieval expectation, this paper adopted "document retrieval expected value" as be the indicator, builds the mathematical model for it, and then takes advantage of it to do the quantitative calculation for all documents...
Abnormal sintering state is often caused by the changes of improper operation in the sintering process of rotary kiln. If not addressed immediately, control system performance will be deteriorating, and even the crash will be caused. Current approaches of pattern recognition cannot be applied immediately to recognizing such abnormal sintering state of rotary kiln. Therefore, integrating both image...
The detection performance on the sintering state of the rotary kiln is mostly dependent on the features used in the recognition process. So an optimization approach of sintering feature parameters based on fuzzy support vector machines (SVM) is proposed. This method firstly uses many feature parameters to describe an image, and then reduce some useless features by portfolio optimization algorithm...
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