The One Class Classification (OCC) problem is different from the conventional binary/multi-class classification problem in the sense that in OCC, the negative class is either not present or not properly sampled. The problem of classifying positive (or target) cases in the absence of appropriately-characterized negative cases (or outliers) has gained increasing attention in recent years. Researc...

Cross-entropy clustering (CEC) is a density model based clustering algorithm. In this paper we present a possible application of CEC to the one-class classification, which has several advantage over classical approaches based on Expectation Maximization (EM) and Support Vector Machines (SVM). More precisely, we can use various types of gaussian models with lower computational complexity. We tes...

Novelty detection or one-class classification starts from a model describing some type of ‘normal behaviour’ and aims to classify deviations from this model as being either novelties or anomalies. In this paper the problem of novelty detection for point patterns S = {x1, . . . ,xk} ⊂ R is treated where examples of anomalies are very sparse, or even absent. The latter complicates the tuning of h...

One-class classification approaches have been proposed in the literature to learn classifiers from examples of only one class. But these approaches are not directly applicable to relational domains due to their reliance on a feature vector or a distance measure. We propose a nonparametric relational one-class classification approach based on first-order trees. We learn a tree-based distance mea...

One-class classification problems have attracted a great deal of attention from various disciplines. In the present study, we attempt to extend the scope of application of the one-class classification technique to statistical process control (SPC) problems. We propose new multivariate control charts that apply the effectiveness of one-class classification to improvement of Phase I and Phase II ...

There are several security issues tied to multimedia when implementing the various applications in the cellular phone and wireless industry. One primary concern is the potential ease of implementing a steganography system. Traditionally, the only mechanism to embed information into a media file has been with a desktop computer. However, as the cellular phone and wireless industry matures, it be...

In this paper, we proposed an importance evaluation method for finance news story recommendation based on one-class classification. Based on the “important news stories” which are generated automatically as our training corpus, we used the one-class classification approach to evaluate the importance of each finance news story. This research not only quantifies the importance of each finance new...

background: the prevalence of neglected developmental dysplasia of the hip (ddh) has been decreasing. nowadays, the disease is rarely seen in walking age children. the purpose of this study is to assess the results of simultaneous osteotomy of femur and pelvic bones in such children. method: we performed a retrospective study on 30 children aged 3.8±0.9 (range: 1.5-7) years old, with ddh who un...