Original scientific paper Computer systems are becoming more and more complex, and system anomalies have a serious impact on system availability. One effective way to achieve high availability is to use anomaly detection tools to find the abnormal activities in the computer system so that they can be repaired. Because of the complexity of modern computing systems, many system metrics need to be...

In many real world datasets both the individual and coordinated action of features may be relevant for class identification. In this paper, a computational strategy for relevant feature selection based on the characterization of redundant or complementary features is proposed. The characterization is achieved using fuzzy measures and an interaction index computed from fuzzy measure coefficients...

Feature selection is a process of selecting group relevant features by removing unnecessary for use in constructing the predictive model. However, high dimensional data increases difficulty feature due to curse dimensionality. From past research, performance model always compared with existing results. When attempting new dataset, current practice benchmark dataset obtained including all featur...

In this paper we propose algorithms for 3D object recognition from 3D point clouds of rotationally symmetric objects. We base our work in a recent method that represents objects using a hash table of shape features, which allows to match efficiently features that vote for object pose hypotheses. In the case of symmetric objects, the rotation angle about the axis of symmetry does not provide any...