Conventional classification algorithms need samples for all classes (e.g. normal and abnormal) during the training phase. However, in many anomaly detection application, we can only get a class samples (commonly, norm...
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Conventional classification algorithms need samples for all classes (e.g. normal and abnormal) during the training phase. However, in many anomaly detection application, we can only get a class samples (commonly, normal samples) to train detectors. This paper presents an improved negative selection algorithm (NSA) and its applications to anomaly detection. This approach can only use normal samples to train detectors;at the same time, in order to overcome the drawbacks of the current representation of the self-space in NSAs, a new scheme of the representation of the self-space is introduced with variable-sized self-radius. In our experiments, this approach is tested using the wellknown real world datasets;preliminary results show that the new approach improves the overall performance of detectors and without increase in complexity.
Given the geographical characteristics of Bordeaux, the coastal radar installed in this region offers an opportunity to put in evidence the ocean-coast-continent interaction and the observation of the rain fields at t...
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Given the geographical characteristics of Bordeaux, the coastal radar installed in this region offers an opportunity to put in evidence the ocean-coast-continent interaction and the observation of the rain fields at the landsea transition. To this effect, the study site was divided into three windows of 60x180 km delimiting the ocean west of the radar and the continent to the east. A Comparative analysis of daily surfaces of rain echoes for the three study areas showed that during a very dry period the rainfall over the sea is reduced of half compared to those of the coast. On the other hand, the surfaces of rain echoes are evolving in the same way for all three areas and are more important over coast and continent that over sea, the difference is 23%. Almost the same difference was found for the rainfall rate recorded during the summer (June-September), the observation period the most favorable for our study. This difference was also verified using the model defined in recommendation ITU-R P.837-3 to calculate the rain intensity exceeded for p% for the average year and for a given location.
Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cel...
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Tissue P systems are distributed parallel and non-deterministic computing models in the framework of membrane computing, which are inspired by intercellular communication and cooperation between neurons. Recently, cell separation is introduced into tissue P systems, which enables systems to generate an exponential workspace in a polynomial time. In this work, the computational power of tissue P systems with cell separation is investigated. Specifically, a uniform family of tissue P systems with cell separation is constructed for effciently solving a well-known NP-complete problem, the partition problem.
The improved of texture classification accuracy by using the probability weighted combination method of three texture features extraction consist of thE0020 Gray-Level Co-occurrence Matrix (GLCM), Semivariogram Functi...
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Recently, Gutiérrez-Naranjo and Leporati considered performing basic arithmetic operations on a new class of bioinspired computing devices - spiking neural P systems (for short, SN P systems). However, the binary...
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In order to resolve the problem of skew phenomenon in the handwritten document image during the scanning process, a new skew angle detection algorithm based on maximum gradient difference as well as Hough transform wa...
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Users usually have different prospective even they input a same keyword to search Web services. It is a challenge to personalize web service search engine as more and more keyword-like Web services becoming available ...
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For services that have similar functionalities, if they are published by different cloud platforms, it is a challenge to evaluate them, for satisfying different end users' personal preferences. In view of this cha...
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The potential use of molecular computation in attacking the Data Encryption Standard (DES) is already known, but the used computing models are not autonomous and require many tedious laboratory steps to execute. In th...
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Content-aware music adaption, i.e. music resizing, in temporal constraints starts drawing attention from multimedia communities because of the need of real-world scenarios, e.g. animation production and radio advertis...
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