Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
We propose a general framework for simultaneous segmentation and modelling of signals based on an Equipartition Principle (EP). According to EP, the signal is divided into segment...
A process is described for selecting the subset of internal models needed to perform situation assessment and organizing them in a representation we designate a mental space. A co...
The number of computational trust models has been increasing rapidly in recent years, yet their applications for automating trust evaluation are still limited. The main obstacle i...