نتایج جستجو برای: one class classification
تعداد نتایج: 2663984 فیلتر نتایج به سال:
Support Vector Machine (SVM) is one of the important classification techniques, has been recently attracted by many of the researchers. However, there are some limitations for this approach. Determining the hyperplane that distinguishes classes with the maximum margin and calculating the position of each point (train data) in SVM linear classifier can be interpreted as computing a data membersh...
Feature extraction performs an important role in improving hyperspectral image classification. Compared with parametric methods, nonparametric feature extraction methods have better performance when classes have no normal distribution. Besides, these methods can extract more features than what parametric feature extraction methods do. Nonparametric feature extraction methods use nonparametric s...
Fuzzy rule-based classification system (FRBCS) is a popular machine learning technique for classification purposes. One of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. However many cases the minority classes are more important than the majority ones. In this paper, we have extended ...
Abstract Researches in surface defect classification and segmentation technology have been seen significant progress recent years. However, there are few works on One-Class learning this direction by a single model. In previous researches, some problems remain unsolved the detection methods, e.g. training needs large number of samples these models cannot classify locate accurately, etc. The mai...
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