Abstract. We present a novel algorithm called DBSC, which finds subspace clusters in numerical datasets based on the concept of ”dependency”. This algorithm employs a depth-...
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...
The core computation in BDD-based symbolic synthesis and verification is forming the image and pre-image of sets of states under the transition relation characterizing the sequen...
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...
— In many computer vision related applications it is necessary to distinguish between the background of an image and the objects that are contained in it. This is a difficult pr...
Thiago C. Bellardi, Dizan Vasquez, Christian Laugi...