Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
This paper presents the framework of a scale-oriented scheme for the presentation and classification of reverse engineered sections of procedural code into objects. The aim is to ...
Aaron J. Quigley, Margot Postema, Heinz W. Schmidt
The amount of data collected and stored in databases is growing considerably for almost all areas of human activity. Processing this amount of data is very expensive, both humanly...
The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
This paper offers a novel look at using a dimensionalityreduction technique called simhash [8] to detect similar document pairs in large-scale collections. We show that this algo...