An outlier is an observation that deviates so much from other observations as to arouse suspicion that it was generated by a different mechanism. Outlier detection has many applic...
This paper presents a Bayesian Network model for ContentBased Image Retrieval (CBIR). In the explanation and test of this work, only two images features (semantic evidences) are i...
Paulo S. Rodrigues, Gilson A. Giraldi, Ade A. Arau...
In the paper we present a model based method for generating 3D face models from multiple images by means of an energy minimization algorithm. The energy function takes into accoun...
New developments in the field of theoretical chemistry require the computation of numerous Molecular Potential Energy Surfaces (PESs) to generate adequate quantum force field pa...
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...