This paper presents a search architecture that combines classical search techniques with spread activation techniques applied to a semantic model of a given domain. Given an ontol...
Cristiano Rocha, Daniel Schwabe, Marcus Poggi de A...
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
We propose a partitioning scheme for similarity search indexes that is called Maximal Metric Margin Partitioning (MMMP). MMMP divides the data on the basis of its distribution pat...
In this paper, we propose a new fragile watermarking scheme for 3D meshes. Firstly, the watermark information is adaptively embedded into the mesh geometry by slightly adjusting t...
Hardware performance monitoring is the basis of modern performance analysis tools for application optimization. We are interested in providing such performance analysis tools for t...